Unformatted text preview: W is a constant scaling factor equal to 100 * R * C, the number of rows and columns in the input image S, respectively. Use of for or while loops is not permitted in computing the noise matrix N. Hints : Recall for a random variable G that var( α G) = α 2 var(G). Also r eview the functions meshgrid and randn for help in creating a variance matrix. c) Average SNR Compute the signal-to-noise ratio (a scalar value) averaged over all the pixels of the noised image O = S + N as: μ, the matrix of mean values of O is equal to S since the noise matrix N has zero means. Plot the SNR as you vary W from (10 * R * C) to (100 * R * C) over 10 equal points (see the plot and linspace functions .) Submit your plot along with a few examples of the noised image O for different values of W....
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This note was uploaded on 12/28/2011 for the course ECE 178 taught by Professor Manjunath during the Fall '08 term at UCSB.
- Fall '08