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用于图像的质量评估，比较原始图像与受躁图像之间的结构相似度。
-For image quality assessment, by comparing the original image and the structural similarity between the images impatient.
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LQM算法 图像质量评估方面的 matlab语言编写的-LQM algorithm for image quality assessment
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JPEG2000压缩图像质量评价代码，不需要原参考图像，很准确-the image quality assessment method, without the reference image.
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彩色图像质量评价程序，用于评价彩色图片的清晰度-Color image quality assessment procedures for resolution of color images
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This is an implementation of the algorithm for calculating the
Structural SIMilarity (SSIM) index between two images. Please refer
to the following paper:
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image
quality assess
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image quality assessment
just notible difference-image quality assessment
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image quality assessment
with jnd_dct-image quality assessment
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用于图像质量评价的ssim程序，用以对图像的质量进行客观评价，评价结果更接近主观感受-Ssim for image quality assessment procedures for an objective image quality evaluation, evaluation results are closer to the subjective feelings
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This software release consists of an implementation of the algorithm described in the paper: H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An Information Fidelity Criterion for Image Quality Assessment Using Natural Scene Statistics," IEEE Transacti
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图像处理中，图像质量的评价指标，信噪比-quality assessments of image in image processing
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DIIVINE 目前最先进的无参考图像质量评价软件-DIIVINE the most advanced no reference image quality assessment algorithm
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the equivalent of Zhou Wang s SSIM matlab code
//with K1 = 0.01, K2 = 0.03 and windows = ones(8) since this enables a fast implementation using summed area tables.
//the measure is described in "Image quality assessment: From error measurement to
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Image Quality Assessment FeatureSIM.m good code
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无参考图像质量评价，输入图像，输出评价指标，介于0至100之间-image quality assessment
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这是最经典的平面图像质量评价的ssim实现，算法实现简单。-image quality assessment
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无参考图像质量评价，BRISQUE,基于MSCN的提取图片特征-No-Reference Image Quality Assessment in the Spatial Domain
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基于自然场景统计的无参考图像质量评价，此方法可以很好的评价图像质量，与主观评价匹配性很好-No statistics are based on natural scene reference image quality assessment, the evaluation of this method can be very good image quality, very good match with the subjective evaluation
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Image Quality Assessment simple coding in Matlab
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无参考图像质量评价，BRISQUE,基于MSCN的提取图片特征-No-Reference Image Quality Assessment in the Spatial Domain
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Quality assessment for image
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