08-Jan-2022 10:09:01 svd_gray_test(): MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2 Test svd_gray(). SVD_GRAY Demonstrate SVD image compression on a gray scale image. Image consists of M rows and N columns. Compute some rank-K SVD approximations. Image rows M = 360 Image columns N = 460 Image pixels M*N = 165600 fig_num = 0 Graphics saved as "svd_gray_original.png" fig_num = 2 Graphics saved as "svd_gray_singular_values.png" Compression = 0.004958, Partial sum = 0.197986 Graphics saved as "svd_gray_approximation_1.png" Compression = 0.009915, Partial sum = 0.253982 Graphics saved as "svd_gray_approximation_2.png" Compression = 0.024789, Partial sum = 0.374916 Graphics saved as "svd_gray_approximation_5.png" Compression = 0.049577, Partial sum = 0.472615 Graphics saved as "svd_gray_approximation_10.png" Compression = 0.099155, Partial sum = 0.586317 Graphics saved as "svd_gray_approximation_20.png" Compression = 0.198309, Partial sum = 0.710827 Graphics saved as "svd_gray_approximation_40.png" Compression = 0.396618, Partial sum = 0.840851 Graphics saved as "svd_gray_approximation_80.png" SVD_GRAY Normal end of execution. svd_gray_test(): Normal end of execution. 08-Jan-2022 10:09:14