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CLASS -2
FUNDAMENTAL STEPS IN DIGITAL IMAGE
PROCESSING
• There is no general “theory” of image enhancement .When an image is
processed for visual interpretation.
• Enhancement techniques are so varied and use so many different image
processing approaches.
• Difficult to assemble a meaningful body of techniques suitable for
enhancement in one chapter without extensive background development.
• Beginners in the field of image processing generally find enhancement
applications visually appealing , interesting and relatively simple to
understand.
IMAGE ACQUISITION
• It is defined as the action of retrieving an image from some source,
usually a hardware source of processing.
• The image that is required is completely unprocessed.
IMAGE ENHANCEMENT
• It is widely used in computer graphics.
• The objectives of image enhancement techniques is to process an
image so that the result is more suitable than the original image for a
specific application.
MK(13/07/2020)
COLOR IMAGE PROCESSING
• It is an area that has been gaining in importance because of the significant
increase in the use of digital images over the internet.
• Color is used also in later chapter as the basics for extracting features of interest
in an image.
WAVELETS AND MULTIRESOLUTION
PROCESSING
• It is foundation for representing images in various degrees of
resolution.
• In data compression & for pyramidal representation in which images
are subdivided successively into smaller regions.
IMAGE REPRESENTATION & DESCRIPTION
• After the image is segmented into regions, the resulting aggregate of
segmented pixels is represented & described for further computer
processing.
• Representation in two ways :
• Boundary Representation:
• Based on their external characteristics(its boundary)
• Shape characteristics .Such as corners & inflection.
• Regional Representation:
• Based on their internal characteristics(its region)
• Regional properties : color, texture .
COMPONENTS OF AN IMAGE PROCESSING
SYSTEM
• The basic components comprising a typical general – purpose system used for
digital image processing.
• Two elements are,
• Physical device that is sensitive to the energy radiated by the object we wish
to image.
• A device for converting the output of the physical sensing device into digital
form. Ex: digital video camera
COMPONENTS OF AN IMAGE PROCESSING SYSTEM
Fundamentals steps in Digital Image processing

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Fundamentals steps in Digital Image processing

  • 1. CLASS -2 FUNDAMENTAL STEPS IN DIGITAL IMAGE PROCESSING • There is no general “theory” of image enhancement .When an image is processed for visual interpretation. • Enhancement techniques are so varied and use so many different image processing approaches. • Difficult to assemble a meaningful body of techniques suitable for enhancement in one chapter without extensive background development. • Beginners in the field of image processing generally find enhancement applications visually appealing , interesting and relatively simple to understand.
  • 2.
  • 3. IMAGE ACQUISITION • It is defined as the action of retrieving an image from some source, usually a hardware source of processing. • The image that is required is completely unprocessed.
  • 4. IMAGE ENHANCEMENT • It is widely used in computer graphics. • The objectives of image enhancement techniques is to process an image so that the result is more suitable than the original image for a specific application.
  • 6. COLOR IMAGE PROCESSING • It is an area that has been gaining in importance because of the significant increase in the use of digital images over the internet. • Color is used also in later chapter as the basics for extracting features of interest in an image.
  • 7.
  • 8. WAVELETS AND MULTIRESOLUTION PROCESSING • It is foundation for representing images in various degrees of resolution. • In data compression & for pyramidal representation in which images are subdivided successively into smaller regions.
  • 9.
  • 10.
  • 11.
  • 12. IMAGE REPRESENTATION & DESCRIPTION • After the image is segmented into regions, the resulting aggregate of segmented pixels is represented & described for further computer processing. • Representation in two ways : • Boundary Representation: • Based on their external characteristics(its boundary) • Shape characteristics .Such as corners & inflection. • Regional Representation: • Based on their internal characteristics(its region) • Regional properties : color, texture .
  • 13.
  • 14.
  • 15. COMPONENTS OF AN IMAGE PROCESSING SYSTEM • The basic components comprising a typical general – purpose system used for digital image processing. • Two elements are, • Physical device that is sensitive to the energy radiated by the object we wish to image. • A device for converting the output of the physical sensing device into digital form. Ex: digital video camera
  • 16. COMPONENTS OF AN IMAGE PROCESSING SYSTEM