文件名称:ImageQuality_evaluation
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众多matlab代码用于检测图片质量,比如MSE, PSNR等-Several codes based on matlab used to evaluate the quality of image processing such as MSE, PSNR
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下载文件列表
ImageQuality_evaluation\AverageDifference.m
.......................\DistortedImages
.......................\...............\dc_shift_10.bmp
.......................\...............\dc_shift_15.bmp
.......................\...............\dc_shift_20.bmp
.......................\...............\dc_shift_25.bmp
.......................\...............\dc_shift_30.bmp
.......................\...............\gaussian_blur_11.bmp
.......................\...............\gaussian_blur_3.bmp
.......................\...............\gaussian_blur_5.bmp
.......................\...............\gaussian_blur_7.bmp
.......................\...............\gaussian_blur_9.bmp
.......................\...............\gaussian_noise_10.bmp
.......................\...............\gaussian_noise_20.bmp
.......................\...............\gaussian_noise_30.bmp
.......................\...............\gaussian_noise_40.bmp
.......................\...............\gaussian_noise_50.bmp
.......................\...............\jpeg_10.jpg
.......................\...............\jpeg_2.jpg
.......................\...............\jpeg_4.jpg
.......................\...............\jpeg_6.jpg
.......................\...............\jpeg_8.jpg
.......................\...............\Thumbs.db
.......................\Main.m
.......................\MaximumDifference.m
.......................\MeanSquareError.m
.......................\NormalizedAbsoluteError.m
.......................\NormalizedCrossCorrelation.m
.......................\OriginalImages
.......................\..............\Lena.bmp
.......................\..............\Thumbs.db
.......................\PeakSignaltoNoiseRatio.m
.......................\ReadMe.txt
.......................\Reference.PNG
.......................\StructuralContent.m
.......................\DistortedImages
.......................\...............\dc_shift_10.bmp
.......................\...............\dc_shift_15.bmp
.......................\...............\dc_shift_20.bmp
.......................\...............\dc_shift_25.bmp
.......................\...............\dc_shift_30.bmp
.......................\...............\gaussian_blur_11.bmp
.......................\...............\gaussian_blur_3.bmp
.......................\...............\gaussian_blur_5.bmp
.......................\...............\gaussian_blur_7.bmp
.......................\...............\gaussian_blur_9.bmp
.......................\...............\gaussian_noise_10.bmp
.......................\...............\gaussian_noise_20.bmp
.......................\...............\gaussian_noise_30.bmp
.......................\...............\gaussian_noise_40.bmp
.......................\...............\gaussian_noise_50.bmp
.......................\...............\jpeg_10.jpg
.......................\...............\jpeg_2.jpg
.......................\...............\jpeg_4.jpg
.......................\...............\jpeg_6.jpg
.......................\...............\jpeg_8.jpg
.......................\...............\Thumbs.db
.......................\Main.m
.......................\MaximumDifference.m
.......................\MeanSquareError.m
.......................\NormalizedAbsoluteError.m
.......................\NormalizedCrossCorrelation.m
.......................\OriginalImages
.......................\..............\Lena.bmp
.......................\..............\Thumbs.db
.......................\PeakSignaltoNoiseRatio.m
.......................\ReadMe.txt
.......................\Reference.PNG
.......................\StructuralContent.m