SlideShare ist ein Scribd-Unternehmen logo
1 von 8
 Describe the process of measuring the image tonal
balance from its histogram.
In This Chapter, you’ll learn on:
 Explain the term histogram
 Evaluate exposure with a histogram
 Differentiate between
o a basic histogram and
o a colour histogram (RGB)
 Histogram
 A histogram is a statistical graph that allows the intensity
distribution of the pixels of an image; also refer to as the
number of pixels for each luminous intensity to be
represented by convention. A histogram represents the
intensity level using X-coordinates going from the darkest
(on the left) to lightest (on the right).

 Thus, the histogram of an image with 256 levels of grey will
be represented by a graph having 256 values on the X-
axis and the number of image pixels on the Y-axis. Let us
consider, for example, the following image made up of
levels of grey:
HIstogram
 The histogram reveals that there are many more light grey
tones present in the image than dark grey tones.The tone of
grey that is most used is the 11th from the left.
HIstogram
 Understanding the Histogram
 As we had mentioned, a histogram is a graph that displays how
light is distributed in your picture. The left side of the graph
represents the shadows, while the highlights are on the right.
Here's what that means: If the histogram has a high peak on
the left, you can deduce that a lot of pixels in the picture are
dark, or in shadow. A peak on the right of the graph means
that a lot of pixels are bright, or in highlights. Peaks in the middle
of the graph represent pixels in the midtones of your exposure.
HIstogram
 Understanding the Histogram
 And here's the real key to unlocking the power of a histogram:
There should not be any peaks that get "cut off" at either end of
the graph, as if they want to continue past the edge of the
graph. When the histogram starts or ends with a peak that's
already in the air, then you know that colour information has
been lost because the camera's exposure settings weren't
correct for that picture.
 Colour Histogram
 In image processing and photography, a colour
histogram is a representation of the distribution of
colours in an image. For digital images, a colour
histogram represents the number of pixels that have
colours in each of a fixed list of colour ranges, which
span the image's colour space, the set of all possible
colours.
 Colour Histogram
Several histograms are necessary for colour images. For
example, for an image coded in RGB there are:
 A histogram representing the luminance distribution,
 three histograms representing the distribution of the values of
the red, blue and green components respectively.

Weitere ähnliche Inhalte

Was ist angesagt?

Computer graphics & image processing lecture notes
Computer graphics & image processing lecture notesComputer graphics & image processing lecture notes
Computer graphics & image processing lecture notes
TejaRamPooniya
 
3 D Impressie Floor Trailers 2007 05 03
3 D Impressie Floor Trailers 2007 05 033 D Impressie Floor Trailers 2007 05 03
3 D Impressie Floor Trailers 2007 05 03
hsro
 

Was ist angesagt? (20)

Graph, gram
Graph, gramGraph, gram
Graph, gram
 
Computer graphics color models
Computer graphics    color modelsComputer graphics    color models
Computer graphics color models
 
"Color model" Slide for Computer Graphics Presentation
"Color model" Slide for Computer Graphics Presentation"Color model" Slide for Computer Graphics Presentation
"Color model" Slide for Computer Graphics Presentation
 
Color Models Computer Graphics
Color Models Computer GraphicsColor Models Computer Graphics
Color Models Computer Graphics
 
Large scale 3 d point cloud compression using adaptive radial distance predic...
Large scale 3 d point cloud compression using adaptive radial distance predic...Large scale 3 d point cloud compression using adaptive radial distance predic...
Large scale 3 d point cloud compression using adaptive radial distance predic...
 
Rgb colour model
Rgb colour modelRgb colour model
Rgb colour model
 
Color model in computer graphics
Color model in computer graphicsColor model in computer graphics
Color model in computer graphics
 
Color model
Color modelColor model
Color model
 
Rgb and cmy color model
Rgb and cmy color modelRgb and cmy color model
Rgb and cmy color model
 
Statistics
StatisticsStatistics
Statistics
 
color the image
color the imagecolor the image
color the image
 
RGB Color Model and Monitor Resolution
RGB Color Model and Monitor ResolutionRGB Color Model and Monitor Resolution
RGB Color Model and Monitor Resolution
 
HSL & HSV colour models
HSL & HSV colour modelsHSL & HSV colour models
HSL & HSV colour models
 
Random scan
Random scanRandom scan
Random scan
 
Representation of Bitmapped Graphics
Representation of Bitmapped GraphicsRepresentation of Bitmapped Graphics
Representation of Bitmapped Graphics
 
Computer graphics & image processing lecture notes
Computer graphics & image processing lecture notesComputer graphics & image processing lecture notes
Computer graphics & image processing lecture notes
 
3 D Impressie Floor Trailers 2007 05 03
3 D Impressie Floor Trailers 2007 05 033 D Impressie Floor Trailers 2007 05 03
3 D Impressie Floor Trailers 2007 05 03
 
Coloring
ColoringColoring
Coloring
 
Digging into Data: Analysis and Visualisation in 3D
Digging into Data: Analysis and Visualisation in 3DDigging into Data: Analysis and Visualisation in 3D
Digging into Data: Analysis and Visualisation in 3D
 
How Computers Represent Graphics
How Computers Represent GraphicsHow Computers Represent Graphics
How Computers Represent Graphics
 

Andere mochten auch (17)

Chap54
Chap54Chap54
Chap54
 
Chap61
Chap61Chap61
Chap61
 
Chap12
Chap12Chap12
Chap12
 
Chap48
Chap48Chap48
Chap48
 
Chap38
Chap38Chap38
Chap38
 
Chap15
Chap15Chap15
Chap15
 
Chap52
Chap52Chap52
Chap52
 
Chap60
Chap60Chap60
Chap60
 
Chap22
Chap22Chap22
Chap22
 
Chap34
Chap34Chap34
Chap34
 
Chap11
Chap11Chap11
Chap11
 
Chap46
Chap46Chap46
Chap46
 
Chap6
Chap6Chap6
Chap6
 
Chap2
 Chap2 Chap2
Chap2
 
Chap37
Chap37Chap37
Chap37
 
Chap36
Chap36Chap36
Chap36
 
Chap16
Chap16Chap16
Chap16
 

Ähnlich wie Chap33

Image processing
Image processingImage processing
Image processing
abuamo
 
Lecnoninecolorspacemodelindigitalimageprocess
LecnoninecolorspacemodelindigitalimageprocessLecnoninecolorspacemodelindigitalimageprocess
Lecnoninecolorspacemodelindigitalimageprocess
IrsaAamir
 

Ähnlich wie Chap33 (20)

Histogram based Enhancement
Histogram based Enhancement Histogram based Enhancement
Histogram based Enhancement
 
Histogram based enhancement
Histogram based enhancementHistogram based enhancement
Histogram based enhancement
 
Comparison of Histogram Equalization Techniques for Image Enhancement of Gray...
Comparison of Histogram Equalization Techniques for Image Enhancement of Gray...Comparison of Histogram Equalization Techniques for Image Enhancement of Gray...
Comparison of Histogram Equalization Techniques for Image Enhancement of Gray...
 
project presentation-90-MCS-200003.pptx
project presentation-90-MCS-200003.pptxproject presentation-90-MCS-200003.pptx
project presentation-90-MCS-200003.pptx
 
ModuleII.ppt
ModuleII.pptModuleII.ppt
ModuleII.ppt
 
ModuleII.ppt
ModuleII.pptModuleII.ppt
ModuleII.ppt
 
ModuleII.ppt
ModuleII.pptModuleII.ppt
ModuleII.ppt
 
_Histogram.ppt............................
_Histogram.ppt............................_Histogram.ppt............................
_Histogram.ppt............................
 
Matlab practical ---5.pdf
Matlab practical ---5.pdfMatlab practical ---5.pdf
Matlab practical ---5.pdf
 
Image processing
Image processingImage processing
Image processing
 
Color image processing
Color image processingColor image processing
Color image processing
 
Image processing report
Image processing reportImage processing report
Image processing report
 
COM2304: Intensity Transformation and Spatial Filtering – I (Intensity Transf...
COM2304: Intensity Transformation and Spatial Filtering – I (Intensity Transf...COM2304: Intensity Transformation and Spatial Filtering – I (Intensity Transf...
COM2304: Intensity Transformation and Spatial Filtering – I (Intensity Transf...
 
A Study for Applications of Histogram in Image Enhancement
A Study for Applications of Histogram in Image EnhancementA Study for Applications of Histogram in Image Enhancement
A Study for Applications of Histogram in Image Enhancement
 
chapter-2.1 Histogram.ppt
chapter-2.1 Histogram.pptchapter-2.1 Histogram.ppt
chapter-2.1 Histogram.ppt
 
Image processing tatorial
Image processing tatorialImage processing tatorial
Image processing tatorial
 
Histogram Equalization.pdf
Histogram Equalization.pdfHistogram Equalization.pdf
Histogram Equalization.pdf
 
Color
ColorColor
Color
 
halftoning-160808191912.pdf
halftoning-160808191912.pdfhalftoning-160808191912.pdf
halftoning-160808191912.pdf
 
Lecnoninecolorspacemodelindigitalimageprocess
LecnoninecolorspacemodelindigitalimageprocessLecnoninecolorspacemodelindigitalimageprocess
Lecnoninecolorspacemodelindigitalimageprocess
 

Mehr von dkd_woohoo (20)

Chap72&73
Chap72&73Chap72&73
Chap72&73
 
Chap70
Chap70Chap70
Chap70
 
Chap67
Chap67Chap67
Chap67
 
Chap66
Chap66Chap66
Chap66
 
Chap65
Chap65Chap65
Chap65
 
Chap62
Chap62Chap62
Chap62
 
Chap69
Chap69Chap69
Chap69
 
Chap59
Chap59Chap59
Chap59
 
Chap55
Chap55Chap55
Chap55
 
Chap50
Chap50Chap50
Chap50
 
Chap49
Chap49Chap49
Chap49
 
Chap45
Chap45Chap45
Chap45
 
Chap44
Chap44Chap44
Chap44
 
Chap43
Chap43Chap43
Chap43
 
Chap42
Chap42Chap42
Chap42
 
Chap40
Chap40Chap40
Chap40
 
Chap39
Chap39Chap39
Chap39
 
Chap35
Chap35Chap35
Chap35
 
Chap32
Chap32Chap32
Chap32
 
Chap30
Chap30Chap30
Chap30
 

Kürzlich hochgeladen

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Kürzlich hochgeladen (20)

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 

Chap33

  • 1.  Describe the process of measuring the image tonal balance from its histogram.
  • 2. In This Chapter, you’ll learn on:  Explain the term histogram  Evaluate exposure with a histogram  Differentiate between o a basic histogram and o a colour histogram (RGB)
  • 3.  Histogram  A histogram is a statistical graph that allows the intensity distribution of the pixels of an image; also refer to as the number of pixels for each luminous intensity to be represented by convention. A histogram represents the intensity level using X-coordinates going from the darkest (on the left) to lightest (on the right).   Thus, the histogram of an image with 256 levels of grey will be represented by a graph having 256 values on the X- axis and the number of image pixels on the Y-axis. Let us consider, for example, the following image made up of levels of grey:
  • 4. HIstogram  The histogram reveals that there are many more light grey tones present in the image than dark grey tones.The tone of grey that is most used is the 11th from the left.
  • 5. HIstogram  Understanding the Histogram  As we had mentioned, a histogram is a graph that displays how light is distributed in your picture. The left side of the graph represents the shadows, while the highlights are on the right. Here's what that means: If the histogram has a high peak on the left, you can deduce that a lot of pixels in the picture are dark, or in shadow. A peak on the right of the graph means that a lot of pixels are bright, or in highlights. Peaks in the middle of the graph represent pixels in the midtones of your exposure.
  • 6. HIstogram  Understanding the Histogram  And here's the real key to unlocking the power of a histogram: There should not be any peaks that get "cut off" at either end of the graph, as if they want to continue past the edge of the graph. When the histogram starts or ends with a peak that's already in the air, then you know that colour information has been lost because the camera's exposure settings weren't correct for that picture.
  • 7.  Colour Histogram  In image processing and photography, a colour histogram is a representation of the distribution of colours in an image. For digital images, a colour histogram represents the number of pixels that have colours in each of a fixed list of colour ranges, which span the image's colour space, the set of all possible colours.
  • 8.  Colour Histogram Several histograms are necessary for colour images. For example, for an image coded in RGB there are:  A histogram representing the luminance distribution,  three histograms representing the distribution of the values of the red, blue and green components respectively.