(1) Test using function dct2, the image is compressed. The compression can try to adopt different choices, the DCT transform coefficients after comparing its compression performance. (Function dct2 the matlab itself is some help dct2 see) (2) combined with the textbook cases 8.7.2 of quantitative methods, 88 each DCT transform matrix quantization (Huffman encoding part can be omitted) thereby achieving the image compression. In the case of a certain compression ratio, and the image quality given by the ⑴ compared. (3) with the given sub-subroutine fast_LOT.m transform and compress the image, and (1) gives the image quality compared

9_第八章作业
............\第八章作业
............\..........\8-1.txt
............\..........\dct小于10.png
............\..........\dct小于20.png
............\..........\dct小于40.png
............\..........\dct小于60.png
............\..........\dct小于80.png
............\..........\exa080901_dct1.m
............\..........\exa080901_dct1_test.m
............\..........\exa080902_dct2.m
............\..........\exa080903_LOT_1D.m
............\..........\fast_LOT.m
............\..........\GIRL.BMP
............\..........\压缩图像M10.png
............\..........\压缩图像M15.png
............\..........\压缩图像M21.png
............\..........\压缩图像M6.bmp
............\..........\压缩图像M6.png
............\..........\第8章作业.doc

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