Image quality assessment based on multi-channel regional mutual information

被引：10

作者：

Li, Jing ^{[1
]}

Wu, Kaizhi ^{[1
]}

Zhang, Xuming ^{[1
]}

Ding, Mingyue ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Life Sci & Technol, Image Proc & Intelligent Control Key Lab, Educ Minist China, Wuhan 430074, Peoples R China

来源：

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2012年 / 66卷 / 09期

关键词：

Image quality assessment; Mutual information; PSNR; SSIM;

D O I：

10.1016/j.aeue.2012.01.007

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a novel method based on multi-channel regional mutual information (RMI) is proposed to assess image quality. In the proposed method, the wavelet transform is firstly used to decompose the image into different frequency subbands to calculate RMI values. Then multi-channel RMI is obtained by weighted sum of RMI values in the various wavelet frequency subbands. The performance of the proposed algorithm is compared with that of such universal assessment methods as peak of signal-to-noise ratio (PSNR) and structure similarity (SSIM). Experimental results demonstrate that the proposed method is highly effective for evaluating image quality and it outperforms the assessment methods based on PSNR and SSIM. (C) 2012 Published by Elsevier GmbH.

引用

页码：784 / 787

页数：4

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