Papers

Basic information

Name ENDO KAZUKI
Belonging department Management Information Course,Department of Business,Faculty of Humanities and Social Sciences
Occupation name Associate Professor
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Title

CNN-Based Classification of Degraded Images with Awareness of Degradation Levels

Bibliography怀Type

Joint Author

Summary

This paper is an extended version of "Classifying Degraded Images Over Various Levels of Degradation." This paper improved the classification ability of degraded images by using ensemble weights depending on degradation levels and features of restored images.
This paper was seen as an early access paper in December 2020.
Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi

Magazine(name)

IEEE Transactions on Circuits and Systems for Video Technology

Date of Issue

202110