An efficient method for blocky and scratch noise removal

Xiaolong Ma, Xudong Xie, Kin Man Lam, Yisheng Zhong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, we propose a new method which can remove blocky noises and scratch noises efficiently. Our method employs the idea of robust principal component analysis (RPCA) and uses similar patches from natural images as much as possible. In our method, a matrix is formed whose columns are the patches, which are then decomposed into a noise matrix and a noiseless matrix. Experimental results show that our method can achieve excellent results when compared to state-of-the-art methods.
Original languageEnglish
Title of host publication2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Pages173-174
Number of pages2
DOIs
Publication statusPublished - 11 Sep 2013
Event2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 - Hsinchu, Taiwan
Duration: 3 Jun 20136 Jun 2013

Conference

Conference2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
CountryTaiwan
CityHsinchu
Period3/06/136/06/13

ASJC Scopus subject areas

  • Engineering(all)

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