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：10129 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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