HOW GOOD IS YOUR SUPER-RESOLUTION IMAGE? QUALITY ASSURANCE IN IMAGE RECONSTRUCTION USING THE BOOTSTRAP

被引：0

作者：

Debes, Christian ^{[1
]}

Weiss, Christian ^{[2
]}

Zoubir, Abdelhak M. ^{[2
]}

机构：

[1] AGT Int, D-64295 Darmstadt, Germany

[2] Tech Univ Darmstadt, Signal Proc Grp, D-64283 Darmstadt, Germany

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2013年

关键词：

HIGH-RESOLUTION IMAGE;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Super-Resolution Image Reconstruction is known to be sensitive to errors in assumptions such as accurate sub-pixel motion estimation. Even small errors can yield a significant degradation of image quality that complicates any follow-on task such as object detection or classification. We focus on the problem of automatic quality assessment of Super-Resolution image reconstruction. We propose a bootstrap-based method that provides an objective metric quantifying reconstruction quality and thus allowing to readjust the reconstruction.

引用

页码：5959 / 5963

页数：5

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