Digital Image Processing, Gonzalez & Woods 1 Digital Image Processing STMIK MDP.

Digital Image Processing, Gonzalez & Woods 1 Digital Image Processing STMIK MDP

Digital Image Processing, Gonzalez & Woods2

3 Image Distortion Model Restoration depends on distortion  Common model: convolve plus noise  Special case: noise alone (no convolution)

Digital Image Processing, Gonzalez & Woods4 Thoughts on Restoration Enhancement vs restoration  Enhancement: cosmetic  Restoration: substantive  In reality, there’s a continuum Restoration relies on prior knowledge Example of restoration  Inverse filtering  Noise removal  Nonlinear processing

Digital Image Processing, Gonzalez & Woods5 Chapter 6, Color Image Processing Color fundamentals and models Pseudocolor  Slicing  False-color maps  Index color  Multispectral color models Color transformations Smoothing and sharpening Color segmentation

Digital Image Processing, Gonzalez & Woods6 Retinal Physiology and Color Human retinas have (at least) four types of photoreceptors  Three types of ‘cones’  High light level, high acuity vision  Each type of cone has a different spectral response  One type of ‘rods’  Low-light level and peripheral vision There is substantive genetic diversity in color receptors  Different spectral response of photoreceptor  Absence of one of the pigments  Many more phenomena...

Digital Image Processing, Gonzalez & Woods7 Spectral Response of Cones

Digital Image Processing, Gonzalez & Woods8 Color Matching Theory Young’s observation  Any uniform color can be matched by projecting three different light sources onto a screen In the 1920’s, an international effort on the part of a number of physicists let to the CIE standard color theory The effort attempted to simplify and standardize There have been many refinements, but the basic theory still stands Theory useful for matching pigments (all paint stores have spectrophotometers) and design of color media systems

Digital Image Processing, Gonzalez & Woods9 Tristimulus Values

Digital Image Processing, Gonzalez & Woods10 Chromaticity Diagram From http://www.efg2.com/Lab/Graphics/Colors/Chromaticity.htm http://www.efg2.com/Lab/Graphics/Colors/Chromaticity.htm White is (1/3, 1/3, 1/3) Y is the subjective intensity.

Digital Image Processing, Gonzalez & Woods11 Standard Observer

Digital Image Processing, Gonzalez & Woods12 Better Subjective Color Constant distances in x, y space do not correspond to ‘constant’ changes of color A better linear space is provided by the Y-U-V coordinates

Digital Image Processing, Gonzalez & Woods13 RGB Coordinates With the advent of color television, the RGB coordinates were introduced to conveniently produce color on a color cinescope (cathode ray tube)

Digital Image Processing, Gonzalez & Woods14 RGB Gamut Color space produced by a specific set of phosphors or LCD filters is limited

Digital Image Processing, Gonzalez & Woods15 Constant-Color-Difference Coordinates For modulation (analog TV) and encoding (digital TV, JPEG), Y-U-V-like coordinates are produced R’, G’, B’ are gamma corrected RGB. These are used in electronic media.

Digital Image Processing, Gonzalez & Woods16 Chapter 6 Color Image Processing Chapter 6 Color Image Processing

Digital Image Processing, Gonzalez & Woods 1 Digital Image Processing STMIK MDP.

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Digital Image Processing, Gonzalez & Woods 1 Digital Image Processing STMIK MDP.

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