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DRI Training: Preparing Your Collection for DRI
2. Digitising Your Collection
Digital Imaging – Introduction, components, process.
Tim Keefe, Head of Digital Resources and Imaging Services, Trinity
College Dublin
keefet@tcd.ie
Questions we all need to ask ??
When beginning a digitization project it is
easy to ignore the basic questions, those
questions that we all assume we know the
answers to … however these questions are
often the most important, and need to
addressed formally.
Questions to ask
 What is the purpose of this project?
 What is the scope of the digitization
activity?
 What is the intended lifetime of the
digital files?
 Who is the intended audience?
Purpose
 What is the purpose of this project?
 Why are we digitizing the material
 Need/Trend
 Access
 Research
 Education
 Who are the champions for this project
 Local
 External
 Who or what are the barriers to the
implementation of this project
 Human
 Resource
 Procedural/Political
Scope
 What is the scope of the digitization activity
 What is to be digitized
 What is not to be digitized
 Why?
 Who is likely to demand operation outside of
these criteria
Intended Audience
 Who is the intended audience for the digital
resources
 What are their needs
 How will they access the material
 Who else will be interested
 Are you prepared for a new audience (known or
unknown) to self select to become the primary audience
 Do you wish to prevent any audience from having access
to the resources
Image Lifetime
 What is the intended lifetime for the
digital records
 This question is critical to the appropriate
development of the digitization activity
 Significant resource implications
 Significant planning implications
 Significant digitization process implications
So Why Digitize?
 Access
 Electronic mediums provide the most dynamic assess
 Digital data structures offer the opportunity for truly
dynamic new research and educational models offering
unique new capabilities to existing methodologies
 Preservation
 Digital files designed to proper specifications can be true
surrogates for delicate source materials for all but a hand
full of advanced research needs
 Manipulation
 Non Linear
 Digital resources allow for easy modification to image
characteristics
 Digital files easily cross medium boundaries providing
opportunities for new use models
Problems with digitization
 Pace of technological change is constantly
increasing the digital attributes bar
 Not human readable
 Lack of best practices / attribute recommendations
 Long term digital preservation is a newly
emerging field, solutions just beginning to emerge
 Much more complex than having IS Services make a
backup copy
 Extremely costly activity
 TCO not well understood, few models
Capture for What?
 In TCD we designate the capture activity on
the object intent
 Capturing for Content
 Speed and cost most important
 Quality less important
 Capturing the Object
 Quality most important
 Meeting the needs of the researcher… researching
anything
Components
 The primary components of an average
imaging system:
 Digital capture device
 Light source if not included in the capture system
 Optics if not included in the capture system
 Color Calibration System
 Image Capture/Image Processing Computer
System(s)
 Software packages
 Data Storage Systems
Digital Capture Systems
 Scanners
Digital Capture Systems
 Flatbed
 Reflective /transmissive capabilities
 Infra red dust and scratch removal systems (ICE)
 Linear/Tri linear or CCD systems
 Low productivity
 Inclusive of software
Digital Capture Systems
 Flatbed (limitations)
 Works best with two-dimensional materials.
 Not recommended for use with fragile or tightly
bound material.
 Limited scan area.
 Very slow
Digital Capture Systems
 35mm Photographic
Digital Capture Systems
 Digital Photographic systems
 35mm format
 CCD / CMOS digital capture sensors
 Full Frame or Reduced frame sensors
 1.5 to 1.33 avg. magnification values
 High productivity
 Limited resolution
 Limited bit depth (8-14 bit)
 Cost effective
 Good starting solution
Digital Capture Systems
 Medium format (MF digital back)
Digital Capture Systems
 Medium format (MF digital back)
 CCD sensors
 6 x 4.5cm to 6 x 7cm sensor size
 With and with/out micro-lenses
 High bit depth (16bit)
 High productivity
 High Cost
 Requires high level of studio
photographic experience
 Additional software needs.
 Associated Equipment also expensive
Digital Capture Systems
 Dedicated Book Scanning Systems
 One size fits all… and all its limitations
 Limited source material input
 Material handling and support
 Possible automation
 page turning ,
 image management
 Linear or CCD based
 Digital Camera based
 High to very high productivity
Digital Capture Systems
 Dedicated Book Scanning Systems
 Linear CCD based, generally with included
software. (flatbed in different form factor)
Digital Capture Systems
 Dedicated Book Scanning Systems
 Digital Camera based
 Robotic Scanners
Robots…Really?
Computer Technology
 What to buy
 Image processing is one of the more intensive
computing tasks
 Recommendation is to buy the fastest most
modern computer that you can afford right now
 Memory requirements are often more critical than
processor speed (multi core technology is not being
fully advantaged by software yet)
 Graphics Card often more important than processor
 Have a minimum RAM of 4x your largest file
size… 8x recommended
 Will cost 2-5x more than normal office computer
Computer Technology
 Consider the software needs of the digital
capture system you have chosen.
 Is software for generating the files required by
your Project Scenario or device type?
 Some MF camera systems require unique software
 Will it be necessary to purchase additional
image editing software packages (e.g. Adobe
Creative Suite/ Photoshop) or file management
software (Lightroom, Bridge, etc.)
 Many of these software packages are now
subscription based
Storage Technology
 RAID (Redundant array of inexpensive disks)
 Level 0 (striped) – Speed and performance increases
 Data is broken up and is written across several disks, taking
advantage of multiple writing heads to improve data
throughput (often used for video processing)
 Level 1 (mirrored) – Security through redundancy
 Data is identically written to more than one disk, allowing
for backup protection should any single disk fail
 The overall all data storage volume of the system is halved
when a level one raid is activated
 Local Hard drive (under the desk solution)
 Low cost, lowest preservation (use only when required)
Digital Vocabulary
File Structure
 File types
 Compression
 Spatial resolution
 Bit Depth
 Dynamic range
 Color mode
File Types
 Tiff (Tagged Image File Format)
 Large file size
 Standard format
 Lossless compression LZW (and lossy options)
 Jpeg (Joint Photographic Experts Group)
 Smaller file sizes
 Lossy compression in most cases but newest
versions support lossless (Rarely supported)
 Standard format
 Jpeg 2000 (Lossless and or Lossy)
 Multiple file sizes embedded within single
digital record
 Emerging format (adoption very slow, caution)
File Types cont.
 PDF (Portable Document Format - Adobe Acrobat)
 Advanced Cross Platform Compatibility
 Ability to support complex document generation
 Text, images, notes, embedded graphics, etc,
 Support for advanced printing
 Support for sharing and dissemination
 Standard file type
 Caution as there are a wide variety of versions and variants
 Digital preservation ISO standard acrobat type A files
 Adoption rate very low
 Some believe that this standard had political / corporate influence
driving recommendation
 GIF
 Dying file format, not recommended
File Compression
Two basic types of compression Lossy and Lossless
 Lossy
 Image structure is changed (damaged) by the compression
activity, but not in a perceptual way
 Jpeg is the most common format using lossy compression
 Every file save increases the damage
 file conversion/save into a lossy format should always be the final step in
the digitization and image processing process
 Large reduction in file size
File Saving
 Save Order
 When working with files that use or will use a
lossy compression (Jpeg) it is important that the
very last step in the process is the file save
 Each save recompresses the data and causes
further image degradation
 It is best practice to work in a lossless format such
as Tiff, and save out the final Jpeg as a last step.
This workflow will minimize the impact of the
compression artifacts
Compression cont.
 Lossless
 Image file structure is not changed in any way
by the compression activity
 The Tiff file format with LZW compression is
the most widely used lossless compression
format
 Note, the tiff file format can be also generated with
no compression or lossy compression
Compression examples
Resolution
 This metric is generally stated as pixels per inch
(ppi), or the total number of individual picture
elements that will fit in a 1 x 1 inch sample
 This is sometimes confused with dots per inch (dpi)
which is a printing specific metric
 Spatial resolution requires dimensional
measurements and ppi sample rate
 Screen resolution is 72 ppi (newest technology screens
now exceeding 125ppi)
 High resolution commercial printing requires 300-650
ppi image files
 General internet jpg files 72-150ppi
Bit Depth
 Bit depth is the number of samples provided
within each image channel (RGB, CMYK)
 This term is often confused with dynamic range
 They are not the same however there is an
interaction between them
 The number of discrete steps between black and
white
Bit Depth
 Bit depth is stated in the number of bits of data per
channel
 Bit depth is 2 (binary measure) raised to the power of
the bit depth number so 4 bit color will have 16 steps
between the black and white values
** note that bit depth is stated in either the number of bits
per channel as in 8 bit color or by the sum of all the
channels combined (R+G+B) = 24bit color… this can
be confusing
Bit Depth
 8 bits per channel (or 24 bit color)
 256 value steps in each channel
 16.8 million possible colors
 16 bit per channel (or 48 bit color)
 65536 value steps in each channel
 281.5 trillion possible colors
 Many manufacturers talk about interim bit
depths (12- 14), but the final output is often
reduced to 8 bits per channel
 you cannot add missing data by moving to a
higher bit depth
Dynamic range
 Dynamic range is the ability of a sensor to
simultaneously capture dark detail, and light detail
 This is an inherent weakness of digital capture
 Decisions are made to set device to support either a greater
tonal range of dark densities(more common) or light
 Commonly confused with bit depth
 They are separate characteristics despite all the contrary
information out there (much of it from reputable sources)… I
promise
 Greater bit depth will not automatically provide greater
Dynamic Range (however improvements in bit depth often
accompany other sensor improvements that include increased
DR)
Dynamic Range
 Clipping
 Clipping is a failure state of a digital image as
the limited dynamic range of a device is
unable to correctly capture either very light
or very dark tones
Color Mode
 RGB (Red/Green/Blue color channels)
 Additive color
 Most common color mode for digital images
 Mimics human visual system
Color Mode
 CMYK (Cyan/Magenta/Yellow/Black)
 Subtractive color
 Commercial Printing standard
 Most desktop color printers support RGB color files
(CMYK conversion is internally managed)
 Limited color gamut
Color Mode
 Lab color
 Single luminance (grey scale
channel) and 2 opposing color
channels
 Loosely represents the range of
human vision
 Good for transforms
Color Profile Standards
 The user defined color profile assigned to the
image files supports several informal standard
configurations
 sRGB
 Profile developed more than a decade ago by HP and
Microsoft. Represents the Gamut of an average CRT
monitor
 Very Limited color palette
 New output devices currently capable of exceeding this space
 Most commonly used profile (usually the default if not stated)
Color Profile Standards
 Adobe RGB 1998
 Newer profile designed to support wider palette of
colors to support higher quality printing
 Lower use than sRGB, but well recognized
 Maintains a color appearance consistent with sRGB devices
 ProPhoto RGB
 A wide gamut color space designed for very high
quality printing of photographic images
 Color appearance is highly inconsistent when use with devices
not color managed, or set to sRGB standards
 Despite the benefits of this color space, its use is quite limited
due to the setup and management requirements
 Caution in its use, as inaccurate color characteristics can occur
with improperly managed devices
Image Processing
Post capture modifications and
manipulations to the original digital
image file structure
The Controversy
 Two primary schools of thought
 The digital master image files should remain
untouched as they emerge from the capture
device and all subsequent processing should
occur only on the surrogates
 Image processing will occur on the master
capture file with the intent of matching the
original source material as closely as
possible at the time of capture
Color Mode
 RGB
 Standard image space for files
 Common, not likely to change
 CMYK
 Avoid this space for all but specific commercial
printing activities (even then try to ignore it)
 Lab
 Great for processing transforms that can benefit
from a luminance channel
 Sharpening
 Noise removal
 No color profile
File Formats
 Master
 This is the high quality large image
generated from the capture device
 Surrogates
 These are secondary files generated from the
master file to be used for specific purposes
File format Sets
 Master
 Tiff
 This is intended to be the highest quality image
 Represents the asset derived from the € spent
 Lossless compression recommended
 Compressed Jpg’s
 File size reduced for easier management, and
dissemination, and to manage costs
 Lossy compression is acceptable within the use cases
 Often several sizes (Large, small, thumbnail)
 Used for public display
Image Manipulations
 Tone Scale
 To adjust tone scale you need to push or pull
predetermined black and white values to defined
positions on the histogram
 This requires the use of a calibrated reference target placed
within the image
Image Manipulations
 Sharpening
 Sharpening works by increasing the contrast between edges in an
image. This change in contrast fools the human visual system into
believing that the image is sharper
Image Manipulation
 Sharpening
Cropping
 Cropping
 Cropping is the permanent removal of unwanted parts
of the image
 Formally determine where the boarders of your images
should be
 For research purposes the entire page should be represented
 For access and content related scanning cropping to the
textural areas of the page may be desired
 Failure modes
 What determines a crop or image capture that is unacceptable
requiring reprocessing or a new capture
 Formalize this
Skew/Rotation
 Skew/Rotation
 When the source material is not perpendicular
to the edges of the digital image
 Failure mode
 Determine what percent is unacceptable
 Formalize this criteria
White Balance
 White balance is a color balancing function used
to address the color differences imparted by
varying light sources.
 The human visual system does this automatically in the
brain, removing the real color cast imparted by source
illuminant and giving us the perception that most lights
are white.
 Think of the differences evident when you have a
desktop incandescent bulb in a room lit by fluorescent
 This is also important in the environment where your image
processing occurs
White Balance
 Most white balance is preset within the capture system, however fine
tuning or custom profiles can be applied in the processing stage
 Neutral 18% grey references are used to generate a custom balance
 When adjusting tone scale in Photoshop, neutral grey adjustment can be
used to correct White Balance inconsistencies
Quality Control/Assurance
Imaging and image processing are a highly
repetitive, human dependent set of processes
and are therefore highly susceptible to
regular error
Control vs. Assurance
 Control is in process activities to ensure
quality in the creation of the products
( digital images)
 Assurance is focused on an evaluation of
the processes used and generally takes place
outside of the creation process
Quality Control
 Processes built into the imaging work flow
to ensure that the creation of digital images
is
 Consistent
 Accurate
 Repeatable
 Often automated these processes are
inherently part of the imaging workflow
Quality Assurance
 The Quality Assurance Audit
 Formal.. Informal just does not work
 Existing toolsets developed for a variety of
manufacturing based industries are highly
effective
 TQM
 Six Sigma
 Etc.
 Takes place fully outside of the imaging
processes
Quality Assurance Testing
 What to test for
 Imaging
 File structure metrics
 Naming, page counts
 System/Network (positioning, backup
etc.)
 Metadata
 Structure
 Accuracy
 Completeness
Color Management
One of the most critical, and often
ignored, components of a successful
digitization project is a well planned
color management strategy
Color Management
Within any imaging and processing system you need
to ensure that consistent color is displayed from
device to device, and that a files color metrics are
electronically recognized
 Technology Required
 Capture reference targets
 Color profiles / icc
Color Reference Targets
 Allows a formal measured reverence to be
associated with the image (future proofing)
Color Management Technology
 Color meters (Basic screen calibration)
 Absorptive measurements
 Less dynamic than Spectrophotometers
 Spectrophotometers (Advanced CM)
 Can measure the intensity of light as a
function of the wavelength of the light
 Light absorption
 Diffuse
 Specular
CM Standards
 ICC (international color consortium)
 Works through a standardized Color Matching
Module (CMM) connection space
 Not an ideal solution, but one that has been very
well adopted by most imaging related hardware
and software vendors
 ColorSync (Apple Computer)
 Apple solution to color management
 Part of the Macintosh system software
 Generally plays well with others, occasionally
some fiddling is necessary (ICC integrated)
 Hands off approach
Further Reading and Resources
 DRI and Digital File Format Choices Factsheet:
http://dri.ie/sites/default/files/files/dri-factsheets-file-formats.pdf
 DRI Long-Term Digital Preservation Factsheet:
http://tinyurl.com/hbp28xe
 Online Resources for Digitisation Projects:
http://dri.ie/digitisation-resources
- includes resources for Project Planning, File Formats, Audio &
Audiovisual, Hardware, Metadata & Vocabularies and Policy.
 Trinity College Dublin Digital Collections Repository:
https://www.tcd.ie/Library/dris/digital.php

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Tim Keefe - DRI Training Series: 2. Digitising Your Collection

  • 1. DRI Training: Preparing Your Collection for DRI 2. Digitising Your Collection Digital Imaging – Introduction, components, process. Tim Keefe, Head of Digital Resources and Imaging Services, Trinity College Dublin keefet@tcd.ie
  • 2. Questions we all need to ask ?? When beginning a digitization project it is easy to ignore the basic questions, those questions that we all assume we know the answers to … however these questions are often the most important, and need to addressed formally.
  • 3. Questions to ask  What is the purpose of this project?  What is the scope of the digitization activity?  What is the intended lifetime of the digital files?  Who is the intended audience?
  • 4. Purpose  What is the purpose of this project?  Why are we digitizing the material  Need/Trend  Access  Research  Education  Who are the champions for this project  Local  External  Who or what are the barriers to the implementation of this project  Human  Resource  Procedural/Political
  • 5. Scope  What is the scope of the digitization activity  What is to be digitized  What is not to be digitized  Why?  Who is likely to demand operation outside of these criteria
  • 6. Intended Audience  Who is the intended audience for the digital resources  What are their needs  How will they access the material  Who else will be interested  Are you prepared for a new audience (known or unknown) to self select to become the primary audience  Do you wish to prevent any audience from having access to the resources
  • 7. Image Lifetime  What is the intended lifetime for the digital records  This question is critical to the appropriate development of the digitization activity  Significant resource implications  Significant planning implications  Significant digitization process implications
  • 8. So Why Digitize?  Access  Electronic mediums provide the most dynamic assess  Digital data structures offer the opportunity for truly dynamic new research and educational models offering unique new capabilities to existing methodologies  Preservation  Digital files designed to proper specifications can be true surrogates for delicate source materials for all but a hand full of advanced research needs  Manipulation  Non Linear  Digital resources allow for easy modification to image characteristics  Digital files easily cross medium boundaries providing opportunities for new use models
  • 9. Problems with digitization  Pace of technological change is constantly increasing the digital attributes bar  Not human readable  Lack of best practices / attribute recommendations  Long term digital preservation is a newly emerging field, solutions just beginning to emerge  Much more complex than having IS Services make a backup copy  Extremely costly activity  TCO not well understood, few models
  • 10. Capture for What?  In TCD we designate the capture activity on the object intent  Capturing for Content  Speed and cost most important  Quality less important  Capturing the Object  Quality most important  Meeting the needs of the researcher… researching anything
  • 11. Components  The primary components of an average imaging system:  Digital capture device  Light source if not included in the capture system  Optics if not included in the capture system  Color Calibration System  Image Capture/Image Processing Computer System(s)  Software packages  Data Storage Systems
  • 13. Digital Capture Systems  Flatbed  Reflective /transmissive capabilities  Infra red dust and scratch removal systems (ICE)  Linear/Tri linear or CCD systems  Low productivity  Inclusive of software
  • 14. Digital Capture Systems  Flatbed (limitations)  Works best with two-dimensional materials.  Not recommended for use with fragile or tightly bound material.  Limited scan area.  Very slow
  • 15. Digital Capture Systems  35mm Photographic
  • 16. Digital Capture Systems  Digital Photographic systems  35mm format  CCD / CMOS digital capture sensors  Full Frame or Reduced frame sensors  1.5 to 1.33 avg. magnification values  High productivity  Limited resolution  Limited bit depth (8-14 bit)  Cost effective  Good starting solution
  • 17. Digital Capture Systems  Medium format (MF digital back)
  • 18. Digital Capture Systems  Medium format (MF digital back)  CCD sensors  6 x 4.5cm to 6 x 7cm sensor size  With and with/out micro-lenses  High bit depth (16bit)  High productivity  High Cost  Requires high level of studio photographic experience  Additional software needs.  Associated Equipment also expensive
  • 19. Digital Capture Systems  Dedicated Book Scanning Systems  One size fits all… and all its limitations  Limited source material input  Material handling and support  Possible automation  page turning ,  image management  Linear or CCD based  Digital Camera based  High to very high productivity
  • 20. Digital Capture Systems  Dedicated Book Scanning Systems  Linear CCD based, generally with included software. (flatbed in different form factor)
  • 21. Digital Capture Systems  Dedicated Book Scanning Systems  Digital Camera based  Robotic Scanners
  • 23. Computer Technology  What to buy  Image processing is one of the more intensive computing tasks  Recommendation is to buy the fastest most modern computer that you can afford right now  Memory requirements are often more critical than processor speed (multi core technology is not being fully advantaged by software yet)  Graphics Card often more important than processor  Have a minimum RAM of 4x your largest file size… 8x recommended  Will cost 2-5x more than normal office computer
  • 24. Computer Technology  Consider the software needs of the digital capture system you have chosen.  Is software for generating the files required by your Project Scenario or device type?  Some MF camera systems require unique software  Will it be necessary to purchase additional image editing software packages (e.g. Adobe Creative Suite/ Photoshop) or file management software (Lightroom, Bridge, etc.)  Many of these software packages are now subscription based
  • 25. Storage Technology  RAID (Redundant array of inexpensive disks)  Level 0 (striped) – Speed and performance increases  Data is broken up and is written across several disks, taking advantage of multiple writing heads to improve data throughput (often used for video processing)  Level 1 (mirrored) – Security through redundancy  Data is identically written to more than one disk, allowing for backup protection should any single disk fail  The overall all data storage volume of the system is halved when a level one raid is activated  Local Hard drive (under the desk solution)  Low cost, lowest preservation (use only when required)
  • 26. Digital Vocabulary File Structure  File types  Compression  Spatial resolution  Bit Depth  Dynamic range  Color mode
  • 27. File Types  Tiff (Tagged Image File Format)  Large file size  Standard format  Lossless compression LZW (and lossy options)  Jpeg (Joint Photographic Experts Group)  Smaller file sizes  Lossy compression in most cases but newest versions support lossless (Rarely supported)  Standard format  Jpeg 2000 (Lossless and or Lossy)  Multiple file sizes embedded within single digital record  Emerging format (adoption very slow, caution)
  • 28. File Types cont.  PDF (Portable Document Format - Adobe Acrobat)  Advanced Cross Platform Compatibility  Ability to support complex document generation  Text, images, notes, embedded graphics, etc,  Support for advanced printing  Support for sharing and dissemination  Standard file type  Caution as there are a wide variety of versions and variants  Digital preservation ISO standard acrobat type A files  Adoption rate very low  Some believe that this standard had political / corporate influence driving recommendation  GIF  Dying file format, not recommended
  • 29. File Compression Two basic types of compression Lossy and Lossless  Lossy  Image structure is changed (damaged) by the compression activity, but not in a perceptual way  Jpeg is the most common format using lossy compression  Every file save increases the damage  file conversion/save into a lossy format should always be the final step in the digitization and image processing process  Large reduction in file size
  • 30. File Saving  Save Order  When working with files that use or will use a lossy compression (Jpeg) it is important that the very last step in the process is the file save  Each save recompresses the data and causes further image degradation  It is best practice to work in a lossless format such as Tiff, and save out the final Jpeg as a last step. This workflow will minimize the impact of the compression artifacts
  • 31. Compression cont.  Lossless  Image file structure is not changed in any way by the compression activity  The Tiff file format with LZW compression is the most widely used lossless compression format  Note, the tiff file format can be also generated with no compression or lossy compression
  • 33. Resolution  This metric is generally stated as pixels per inch (ppi), or the total number of individual picture elements that will fit in a 1 x 1 inch sample  This is sometimes confused with dots per inch (dpi) which is a printing specific metric  Spatial resolution requires dimensional measurements and ppi sample rate  Screen resolution is 72 ppi (newest technology screens now exceeding 125ppi)  High resolution commercial printing requires 300-650 ppi image files  General internet jpg files 72-150ppi
  • 34. Bit Depth  Bit depth is the number of samples provided within each image channel (RGB, CMYK)  This term is often confused with dynamic range  They are not the same however there is an interaction between them  The number of discrete steps between black and white
  • 35. Bit Depth  Bit depth is stated in the number of bits of data per channel  Bit depth is 2 (binary measure) raised to the power of the bit depth number so 4 bit color will have 16 steps between the black and white values ** note that bit depth is stated in either the number of bits per channel as in 8 bit color or by the sum of all the channels combined (R+G+B) = 24bit color… this can be confusing
  • 36. Bit Depth  8 bits per channel (or 24 bit color)  256 value steps in each channel  16.8 million possible colors  16 bit per channel (or 48 bit color)  65536 value steps in each channel  281.5 trillion possible colors  Many manufacturers talk about interim bit depths (12- 14), but the final output is often reduced to 8 bits per channel  you cannot add missing data by moving to a higher bit depth
  • 37. Dynamic range  Dynamic range is the ability of a sensor to simultaneously capture dark detail, and light detail  This is an inherent weakness of digital capture  Decisions are made to set device to support either a greater tonal range of dark densities(more common) or light  Commonly confused with bit depth  They are separate characteristics despite all the contrary information out there (much of it from reputable sources)… I promise  Greater bit depth will not automatically provide greater Dynamic Range (however improvements in bit depth often accompany other sensor improvements that include increased DR)
  • 38. Dynamic Range  Clipping  Clipping is a failure state of a digital image as the limited dynamic range of a device is unable to correctly capture either very light or very dark tones
  • 39. Color Mode  RGB (Red/Green/Blue color channels)  Additive color  Most common color mode for digital images  Mimics human visual system
  • 40. Color Mode  CMYK (Cyan/Magenta/Yellow/Black)  Subtractive color  Commercial Printing standard  Most desktop color printers support RGB color files (CMYK conversion is internally managed)  Limited color gamut
  • 41. Color Mode  Lab color  Single luminance (grey scale channel) and 2 opposing color channels  Loosely represents the range of human vision  Good for transforms
  • 42. Color Profile Standards  The user defined color profile assigned to the image files supports several informal standard configurations  sRGB  Profile developed more than a decade ago by HP and Microsoft. Represents the Gamut of an average CRT monitor  Very Limited color palette  New output devices currently capable of exceeding this space  Most commonly used profile (usually the default if not stated)
  • 43. Color Profile Standards  Adobe RGB 1998  Newer profile designed to support wider palette of colors to support higher quality printing  Lower use than sRGB, but well recognized  Maintains a color appearance consistent with sRGB devices  ProPhoto RGB  A wide gamut color space designed for very high quality printing of photographic images  Color appearance is highly inconsistent when use with devices not color managed, or set to sRGB standards  Despite the benefits of this color space, its use is quite limited due to the setup and management requirements  Caution in its use, as inaccurate color characteristics can occur with improperly managed devices
  • 44. Image Processing Post capture modifications and manipulations to the original digital image file structure
  • 45. The Controversy  Two primary schools of thought  The digital master image files should remain untouched as they emerge from the capture device and all subsequent processing should occur only on the surrogates  Image processing will occur on the master capture file with the intent of matching the original source material as closely as possible at the time of capture
  • 46. Color Mode  RGB  Standard image space for files  Common, not likely to change  CMYK  Avoid this space for all but specific commercial printing activities (even then try to ignore it)  Lab  Great for processing transforms that can benefit from a luminance channel  Sharpening  Noise removal  No color profile
  • 47. File Formats  Master  This is the high quality large image generated from the capture device  Surrogates  These are secondary files generated from the master file to be used for specific purposes
  • 48. File format Sets  Master  Tiff  This is intended to be the highest quality image  Represents the asset derived from the € spent  Lossless compression recommended  Compressed Jpg’s  File size reduced for easier management, and dissemination, and to manage costs  Lossy compression is acceptable within the use cases  Often several sizes (Large, small, thumbnail)  Used for public display
  • 49. Image Manipulations  Tone Scale  To adjust tone scale you need to push or pull predetermined black and white values to defined positions on the histogram  This requires the use of a calibrated reference target placed within the image
  • 50. Image Manipulations  Sharpening  Sharpening works by increasing the contrast between edges in an image. This change in contrast fools the human visual system into believing that the image is sharper
  • 52. Cropping  Cropping  Cropping is the permanent removal of unwanted parts of the image  Formally determine where the boarders of your images should be  For research purposes the entire page should be represented  For access and content related scanning cropping to the textural areas of the page may be desired  Failure modes  What determines a crop or image capture that is unacceptable requiring reprocessing or a new capture  Formalize this
  • 53. Skew/Rotation  Skew/Rotation  When the source material is not perpendicular to the edges of the digital image  Failure mode  Determine what percent is unacceptable  Formalize this criteria
  • 54. White Balance  White balance is a color balancing function used to address the color differences imparted by varying light sources.  The human visual system does this automatically in the brain, removing the real color cast imparted by source illuminant and giving us the perception that most lights are white.  Think of the differences evident when you have a desktop incandescent bulb in a room lit by fluorescent  This is also important in the environment where your image processing occurs
  • 55. White Balance  Most white balance is preset within the capture system, however fine tuning or custom profiles can be applied in the processing stage  Neutral 18% grey references are used to generate a custom balance  When adjusting tone scale in Photoshop, neutral grey adjustment can be used to correct White Balance inconsistencies
  • 56. Quality Control/Assurance Imaging and image processing are a highly repetitive, human dependent set of processes and are therefore highly susceptible to regular error
  • 57. Control vs. Assurance  Control is in process activities to ensure quality in the creation of the products ( digital images)  Assurance is focused on an evaluation of the processes used and generally takes place outside of the creation process
  • 58. Quality Control  Processes built into the imaging work flow to ensure that the creation of digital images is  Consistent  Accurate  Repeatable  Often automated these processes are inherently part of the imaging workflow
  • 59. Quality Assurance  The Quality Assurance Audit  Formal.. Informal just does not work  Existing toolsets developed for a variety of manufacturing based industries are highly effective  TQM  Six Sigma  Etc.  Takes place fully outside of the imaging processes
  • 60. Quality Assurance Testing  What to test for  Imaging  File structure metrics  Naming, page counts  System/Network (positioning, backup etc.)  Metadata  Structure  Accuracy  Completeness
  • 61. Color Management One of the most critical, and often ignored, components of a successful digitization project is a well planned color management strategy
  • 62. Color Management Within any imaging and processing system you need to ensure that consistent color is displayed from device to device, and that a files color metrics are electronically recognized  Technology Required  Capture reference targets  Color profiles / icc
  • 63. Color Reference Targets  Allows a formal measured reverence to be associated with the image (future proofing)
  • 64. Color Management Technology  Color meters (Basic screen calibration)  Absorptive measurements  Less dynamic than Spectrophotometers  Spectrophotometers (Advanced CM)  Can measure the intensity of light as a function of the wavelength of the light  Light absorption  Diffuse  Specular
  • 65. CM Standards  ICC (international color consortium)  Works through a standardized Color Matching Module (CMM) connection space  Not an ideal solution, but one that has been very well adopted by most imaging related hardware and software vendors  ColorSync (Apple Computer)  Apple solution to color management  Part of the Macintosh system software  Generally plays well with others, occasionally some fiddling is necessary (ICC integrated)  Hands off approach
  • 66. Further Reading and Resources  DRI and Digital File Format Choices Factsheet: http://dri.ie/sites/default/files/files/dri-factsheets-file-formats.pdf  DRI Long-Term Digital Preservation Factsheet: http://tinyurl.com/hbp28xe  Online Resources for Digitisation Projects: http://dri.ie/digitisation-resources - includes resources for Project Planning, File Formats, Audio & Audiovisual, Hardware, Metadata & Vocabularies and Policy.  Trinity College Dublin Digital Collections Repository: https://www.tcd.ie/Library/dris/digital.php