An efficient method for blocky and scratch noise removal

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

doi:10.1109/ISCE.2013.6570169

An efficient method for blocky and scratch noise removal

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Pages	173-174
Number of pages	2
DOIs	https://doi.org/10.1109/ISCE.2013.6570169
Publication status	Published - 11 Sept 2013
Event	2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 - Hsinchu, Taiwan Duration: 3 Jun 2013 → 6 Jun 2013

Conference

Conference	2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Country/Territory	Taiwan
City	Hsinchu
Period	3/06/13 → 6/06/13

ASJC Scopus subject areas

General Engineering

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10.1109/ISCE.2013.6570169

Cite this

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title = "An efficient method for blocky and scratch noise removal",

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.",

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AB - 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.

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M3 - Conference article published in proceeding or book

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ER -

An efficient method for blocky and scratch noise removal

Abstract

Conference

ASJC Scopus subject areas

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