基于bandelet域的spiht图像压缩算法我要分享

SPIHT image compression algorithm based on Bandelet domain

SPIHT算法 MATLAB-spiht算法 bandelet图像 SPIHT-图像压缩 spiht图像压缩

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文件大小: 1.75M

代码分类: 图像处理

开发平台: matlab

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代码描述

中文说明:我写的基于bandelet域的spiht图像压缩算法。效果比经典的SPIHT好。文章已发,希望代码对大家有用。


English Description:

I write based on Bandelet domain SPIHT image compression algorithm. The effect is better than SPIHT. The article has been sent, I hope the code is useful to you.


代码预览

SPIHT_bandelet

..............\bandelets

..............\.........\BandeletsTutorial.pdf

..............\.........\compute_best_direction.m

..............\.........\compute_quadtree.m

..............\.........\compute_wavelet_quadtree.asv

..............\.........\compute_wavelet_quadtree.m

..............\.........\convert_wavelets2list.m

..............\.........\dichotomic_grouping.m

..............\.........\images

..............\.........\load_image_small_square.m

..............\.........\perform_alpert_transform_2d.m

..............\.........\perform_bandelet_transform.m

..............\.........\perform_moment_transform_slow.m

..............\.........\perform_warped_wavelet.m

..............\.........\perform_warping.m

..............\.........\perform_wavelet_bandelet_transform.asv

..............\.........\perform_wavelet_bandelet_transform.m

..............\.........\perform_wavelet_transform.m

..............\.........\plot_geometry.m

..............\.........\plot_quadtree.m

..............\.........\plot_wavelet_quadtree.m

..............\.........\reverse.m

..............\.........\rev_sort_abs.m

..............\.........\test_compression.asv

..............\.........\test_compression.m

..............\.........\test_quadtree.m

..............\.........\test_reordering.m

..............\.........\test_single_square.asv

..............\.........\test_single_square.m

..............\.........\test_speed.m

..............\.........\test_wavelet_quadtree.m

..............\.........\toolbox

..............\.........\.......\compile_mex.m

..............\.........\.......\compute_quadrant_selection.m

..............\.........\.......\evaluate_nbr_bits_wavelets.m

..............\.........\.......\keep_above.m

..............\.........\.......\keep_biggest.m

..............\.........\.......\l2error.m

..............\.........\.......\load_image.m

..............\.........\.......\mex

..............\.........\.......\...\bandelet.sln

..............\.........\.......\...\config.h

..............\.........\.......\...\perform_haar_transform.cpp

..............\.........\.......\...\perform_haar_transform.def

..............\.........\.......\...\perform_haar_transform.h

..............\.........\.......\...\perform_haar_transform.vcproj

..............\.........\.......\perform_haar_transform.dll

..............\.........\.......\perform_haar_transform_slow.m

..............\.........\.......\perform_quantization.m

..............\.........\.......\plot_wavelet.m

..............\.........\.......\psnr.m

..............\.........\.......\reorder_coefs.m

..............\.........\.......\rescale.m

..............\bandelets.rar

..............\btc_decode.m

..............\btc_encode.m

..............\btc_image.m

..............\btc_image01.m

..............\btc_image_decode.asv

..............\btc_image_decode.m

..............\btc_image_encode.asv

..............\btc_image_encode.m

..............\btc_image_test.asv

..............\btc_image_test.m

..............\contents.m

..............\func_DWT.m

..............\func_InvDWT.m

..............\func_Myappcoef2.m

..............\func_MyDescendant.m

..............\func_Mywavedec2.m

..............\func_Mywaverec2.m

..............\func_ReadRaw.m

..............\func_SPIHT_Dec.m

..............\func_SPIHT_Enc.m

..............\func_SPIHT_Main.asv

..............\func_SPIHT_Main.m

..............\lena512.raw

..............\result

..............\rle.asv

..............\rle.m

..............\向海林编写的五个文件

..............\....................\compute_best_direction_xhl.asv

..............\....................\compute_best_direction_xhl.m

..............\....................\compute_best_direction_xhl_.m

..............\....................\compute_quadrant_selection_xhl.m

..............\....................\compute_quadtree_xhl.m

..............\....................\compute_wavelet_quadtree_xhl.m

..............\....................\perform_bandelet_transform_xhl.m

..............\....................\perform_warped_wavelet_xhl.m

..............\....................\perform_wavelet_bandelet_transform_xhl.m