ConvolutionInImageProcessing2011print

# ConvolutionInImageProcessing2011print - Smoothing denoising...

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1/25/2011 1 Smoothing denoising deblurring edge detection CONVOLUTION IN IMAGE PROCESSING Smoothing, denoising, deblurring, edge detection CONVOLUTION RECALLED x 12345678 f(3 f(2 f(1 f(0 f f(3) f(2) f(1) f(0) f(3) f(2) f(1) f(0) f flipped

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1/25/2011 2 CONVOLUTION RECALLED x 12345678 f(3 f f(3) f(2) f(1) f(0) f(3) f(2) f(1) f(0) f flipped the mask f(3) f(2) f(1) f(0) CONVOLUTION RECALLED x f(3 f(2 f(1 f(0 f f(3) f(2) f(1) f(0) f(3) f(2) f(1) f(0) the mask
1/25/2011 3 CONVOLUTION RECALLED x 12345678 a b c d the mask y(1)=d*x(1) CONVOLUTION RECALLED x a b c d the mask y(1)=d*x(1) y(2)=c*x(1)+d*x(2) y(2)=b*x(1)+c*x(2)+d*x(3)

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1/25/2011 4 THINK IN “MASK” ´ Remember to flip if you use Matlab conv, conv2 when your mask is not symmetri when your mask is not symmetric ´ The 2D version can be animated similarly CONVOLUTION IN 2D Let I be an 2D array (image). Consider a 3x3 mask. f(0,-1) I(i,j) I(i,j+1)
1/25/2011 5 DIFFERENT EFFECTS OF MASKS ´ Consider this 3x3 mask: 101010 ´ It takes the average of the neighborhood and puts the average at the current pixel.

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## This note was uploaded on 01/16/2012 for the course MAD 4103 taught by Professor Li during the Spring '11 term at University of Central Florida.

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ConvolutionInImageProcessing2011print - Smoothing denoising...

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