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一种抗模糊失真的结构相似度图像质量评价法*

作者:郑德品,沈海斌,赵武峰 日期:2007-10-25/span> 浏览:7108 查看PDF文档

一种抗模糊失真的结构相似度图像质量评价法*

郑德品,沈海斌,赵武峰
(浙江大学 超大规模集成电路设计研究所,浙江 杭州 310027)

摘要:针对人眼对不同图像纹理的敏感差异,提出了一种抗模糊失真的加权结构相似度(WSSIM)图像质量评价方法,它通过提取人眼敏感的边缘信息,将图像分割成不同区域,进行加权处理,获得加权结构相似度(WSSIM),解决了SSIM对于严重模糊图像的评价问题。在LIVE图库中的高斯模糊库(Gaussian_Blur)与PSNR,SSIM,多尺度结构相似度(MS_SSIM)进行仿真比较。实验结果表明,WSSIM模型计算简单,评价性能远远优于前两种方法而略优于MS_SSIM。
关键词:峰值信噪比;结构相似度;多尺度结构相似度;图像质量评价;人类视觉系统
中图分类号:TN391文献标识码:A文章编号:1001-4551(2007)10-0082-03

A blur insensitive structural similarity for image quality assessment
ZHENG Depin, SHEN Haibin, ZHAO Wufeng
(Institute of VLSI Design, Zhejiang University, Hangzhou 310027, China)
Abstract: Considering different texture has different sensitivity for human eyes, a blur insensitive structural similarity model(WSSIM) was proposed, which based on edge to partition different weight region. Experimental comparisons with PSNR, SSIM and MS_SSIM on the LIVE database show that this appoach is simple to calculate, the performance is more excellent than PSNR,SSIM and better than MS_SSIM.
Key words: peak signalnoise ratio (PSNR); structural similarity (SSIM); multiscale structural similarity (MS_SSIM); image quality assessment (IQA); human visual system (HVS)

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