文件名称:matlab.m

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2017-04-13
  • 文件大小:
  • 5.77mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 胡*
  • 相关连接:
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图像质量客观评价的源代码,非常好用,希望有帮助大家。-good good
(系统自动生成,下载前可以参看下载内容)

下载文件列表





图像质量评价\BIQI_release\A Two-Step Framework for Constructing Blind Image Quality Indices.pdf

............\............\biqi.m

............\............\jpeg_quality_score.m

............\............\model_89

............\............\model_89_blur

............\............\model_89_ff

............\............\model_89_jp2k

............\............\model_89_wn

............\............\myTest.m

............\............\No-Reference Perceptual Quality Assessment of JPEG Compressed Image.pdf

............\............\range2

............\............\range2_blur

............\............\range2_ff

............\............\range2_jp2k

............\............\range2_wn

............\............\readme.txt

............\............\svm-predict.exe1

............\............\svm-scale.exe1

............\............\test_ind.txt

............\............\test_ind_scaled

............\............\.ool\libsvmread.c

............\............\....\libsvmread.mexw64

............\............\....\libsvmwrite.c

............\............\....\libsvmwrite.mexw64

............\............\....\make.m

............\............\....\Makefile

............\............\....\README

............\............\....\svmpredict.c

............\............\....\svmpredict.mexw64

............\............\....\svmtrain.c

............\............\....\svmtrain.mexw64

............\............\....\svm_model_matlab.c

............\............\....\svm_model_matlab.h

............\............\引用.txt

............\niqe_release\computefeature.m

............\............\computemean.m

............\............\computequality.m

............\............\estimateaggdparam.m

............\............\estimatemodelparam.m

............\............\example.m

............\............\image1.bmp

............\............\image2.bmp

............\............\image3.bmp

............\............\image4.bmp

............\............\Making a “Completely Blind” Image Quality Analyzer.pdf

............\............\modelparameters.mat

............\............\myTest.m

............\............\myYest.m

............\............\readme.txt

............\............\引用.txt

............\No-reference PSNR\img1.jpg

............\.................\img2.jpg

............\.................\img3.jpg

............\.................\img4.jpg

............\.................\img5.jpg

............\.................\img6.jpg

............\.................\jpeg_quality_score.m

............\.................\test.m

............\SSEQ\example.m

............\....\feature_extract.m

............\....\fecal.m

............\....\img.bmp

............\....\model.mat

............\....\readme.txt

............\....\secal.m

............\....\setscale.m

............\....\SSEQ.m

............\....\SSQA_by_f.m

............\....\tool\libsvmread.c

............\....\....\libsvmread.mexw64

............\....\....\libsvmwrite.c

............\....\....\libsvmwrite.mexw64

............\....\....\make.m

............\....\....\Makefile

............\....\....\README

............\....\....\svmpredict.c

............\....\....\svmpredict.mexw64

............\....\....\svmtrain.c

............\....\....\svmtrain.mexw64

............\....\....\svm_model_matlab.c

............\....\....\svm_model_matlab.h

............\....\引用.txt

............\BIQI_release\tool

............\SSEQ\tool

............\BIQI_release

............\niqe_release

............\No-reference PSNR

............\SSEQ

图像质量评价

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