A Method of Image Quality Assessment Based on Region of Interest

被引：4

作者：

Yang, Wan ^{[1
]}

Wu, Lehua ^{[1
]}

Fan, Ye ^{[1
]}

Wang, Zhaolian ^{[1
]}

机构：

[1] Chongqing Commun Inst, Key Lab Signal & Informat Proc, Chongqing, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

Image quality assessment; structure similarity (SSIM); human visual system (HVS); region of interest (ROI);

D O I：

10.1109/WCICA.2008.4593971

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We apply a method of image quality assessment based on structure similarity (SSIM) to images including regions of interest (ROIs). A gradient-based SSIM model that takes the gradient as the main structural information is used among ROIs, while the classical SSIM model is followed in other regions. Then the final image quality index is evaluated after weights-taxed averaging of indexes in every region. Experimental results show that, considering the importance of ROIs sufficiently, our model is more consistent with perceived visual quality.

引用

页码：6840 / 6843

页数：4

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