MidtermReview_F11

MidtermReview_F11 - Midterm Summary Midterm Summary Fall...

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idterm Summary Midterm Summary Fall 2011 Yao Wang Polytechnic University, Brooklyn, NY 11201
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Topics Covered Image representation olor representation Color representation Quantization ontrast enhancement Contrast enhancement Spatial Filtering: noise removal, harpening edge detection sharpening, edge detection Frequency domain representations FT, DTFT, DFT, unitary transforms Implementation of linear filtering using DTFT nd FT Yao Wang, NYU-Poly EL5123: Midterm Summary 2 and DFT
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Color Image Representation Light is the visible band of the EM wave Color hue of a light depends on the wavelength of the EM wave Illuminating light vs. reflecting light Color attributes: Brightness (luminance) Hue (depends on the wavelength) Saturation (purity) ny color can be reproduced by mixing three primary Any color can be reproduced by mixing three primary colors Illuminating and reflecting light sources follow different mixing rules Color can be represented in many different coordinates (or models) with 3 components Yao Wang, NYU-Poly EL5123: Midterm Summary 3
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Tri-chromatic Color Mixing Tri-chromatic color mixing theory Any color can be obtained by mixing three primary colors with a ght proportion right proportion Primary colors for illuminating sources: Red, Green, Blue (RGB) Color monitor works by exciting red, green, blue phosphors using separate electronic guns follows additive rule: R+G+B=White Primary colors for reflecting sources (also known as secondary colors): Cyan, Magenta, Yellow (CMY) Color printer works by using cyan, magenta, yellow and black (CMYK) dyes follows subtractive rule: R+G+B=Black Yao Wang, NYU-Poly EL5123: Midterm Summary 4
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Color Models Specify three primary or secondary colors Red, Green, Blue. Cyan, Magenta, Yellow. Specify the luminance and chrominance HSB or HSI (Hue, saturation, and brightness or intensity) YIQ (used in NTSC color TV) Q( ) YCbCr (used in digital color TV) Amplitude specification: 8 bits per color component, or 24 bits per pixel Total of 16 million colors 1kx1k true RGB color requires 3 MB memory Yao Wang, NYU-Poly EL5123: Midterm Summary 5 A 1kx1k true RGB color requires 3 MB memory
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Color Image Processing Apply contrast enhancement or filtering (linear or non-linear) to each primary color component independently using the techniques for monochrome images ay change the color hue of the original image May change the color hue of the original image Convert the tri-stimulus representation into a luminance / chrominance representation, and p, modify the luminance component only. For certain applications, different operations may be applied to different color components (either in RGB domain or in YC1C2 domain) to btain special desired effects Yao Wang, NYU-Poly EL5123: Midterm Summary 6 obtain special desired effects
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Pseudo Color Processing Given a gray-scale image, we may display in pseudo colors to better reveal certain
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MidtermReview_F11 - Midterm Summary Midterm Summary Fall...

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