# C download the file bbtiff read it into matlab using

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(c) Download the file bb.tiff . Read it into MATLAB using x=double(imread(’bb.tiff’)) . 2 Last updated 0:33, September 25, 2019

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For this image, plot 1 log 10 k x - ˜ x M k 2 2 k x k 2 2 versus M (choose a range and number of values of M that make this plot meaningful). Using the imagesc.m command, show the approximation for M = 1 , 3 , 8. (d) Using the quantization table in jpeg Qtable.mat , quantize your transform coefficients using ˜ α k,‘ = Q k,‘ · round α k,‘ Q k,‘ . Calculate how many of the resulting coefficients are non-zero, and compute log 10 k x - ˜ x q k 2 2 k x k 2 2 where ˜ x q is the image reconstructed from the quantized coefficients. Verify Parseval by checking that k ˜ α - α k 2 = k ˜ x - x k 2 . Using the imagesc command, show the reconstructed image. 1 If x is an image, then norm(x,’fro’) returns the standard sqrt-sum-of-squares of the entries norms. This is the Frobenius norm. If you don’t specify the ’fro’ , MATLAB will return the operator norm (largest singular value) of x . 3 Last updated 0:33, September 25, 2019
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