文件名称:SSIM
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- 上传时间:2015-09-16
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Wang等人
提出了结构相似性理论
( SSIM) ,对参考图像的亮度,对比度和结构信息进行比较,得
到了较好的结果 他假设 HVS 擅长提取场景中的结构信息,
通过评测失真图像的结构信息的退化程度对图像进行评价,得
到了广泛使用。-Under the assumption that human visual perception is highly
adapted for extracting structural information a scene, we
introduce an alternative complementary framework for quality
assessment based on the degradation of structural information.
As a specific example of this concept, we develop a Structural
Similarity Index and demonstrate its promise through a set of
intuitive examples, as well as comparison to both subjective
ratings and state-of-the-art objective methods on a of
images compressed with JPEG and JPEG2000
提出了结构相似性理论
( SSIM) ,对参考图像的亮度,对比度和结构信息进行比较,得
到了较好的结果 他假设 HVS 擅长提取场景中的结构信息,
通过评测失真图像的结构信息的退化程度对图像进行评价,得
到了广泛使用。-Under the assumption that human visual perception is highly
adapted for extracting structural information a scene, we
introduce an alternative complementary framework for quality
assessment based on the degradation of structural information.
As a specific example of this concept, we develop a Structural
Similarity Index and demonstrate its promise through a set of
intuitive examples, as well as comparison to both subjective
ratings and state-of-the-art objective methods on a of
images compressed with JPEG and JPEG2000
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下载文件列表
SSIM/ssim.m
SSIM/ssim_index.m
SSIM/ssim_index.m
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