Validation of closed-form compression noise statistics using model observers

被引：0

作者：

Li, Dunling ^{[1
]}

Loew, Murray ^{[2
]}

机构：

[1] Texas Instruments Inc, 20450 Century Blvd,MS4041, Germantown, MD 20877 USA

[2] George Washington Univ, Dept Elect & Comp Engn, Washington, DC 20052 USA

来源：

MEDICAL IMAGING 2007: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT | 2007年 / 6515卷

关键词：

model observers; transform coding; compression noise statistics; lumpy background;

D O I：

10.1117/12.711142

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Model observers have been used successfully to predict human observer performance and to evaluate image quality for detection tasks on various backgrounds in medical applications. This paper will apply the closed-form compression noise statistics in analytic form to model observers and the derived channelized Hotelling observer (CHO) for decompressed images. The performance of CHO on decompressed images is validated using JPEG compression algorithm and lumpy- background images. The results show that the derived CHO performance predicts closely its simulated performance.

引用

页数：11

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