Frequency restricted red-black wavelet transform for image restoration

Ting Fa Xu; Jin Gang Qi; Sheng Bing Zhou; Guo Qiang Ni; Jian Min Yao

Frequency restricted red-black wavelet transform for image restoration

Ting Fa Xu^*
, Jin Gang Qi
, Sheng Bing Zhou
, Guo Qiang Ni
, Jian Min Yao

^*此作品的通讯作者

光电学院

Changchun Normal University
Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

A novel algorithm of frequency restricted red-black wavelet transform for image restoration is presented. Introducing the frequency restricted factor, the algorithm restricts each and every frequency coefficient to retain image information while compressing the noise. The algorithm makes use of the red-black wavelet transform in extracting image from the result, compressing its color noise and ringing effect. Experimental results showed that the algorithm is three times as effective than Wiener filtering, and power spectrum equalization filtering on the R_SNand R_SN′ parameters.

源语言	英语
页（从-至）	446-450
页数	5
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	27
期	5
出版状态	已出版 - 5月 2007

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引用此

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title = "Frequency restricted red-black wavelet transform for image restoration",

abstract = "A novel algorithm of frequency restricted red-black wavelet transform for image restoration is presented. Introducing the frequency restricted factor, the algorithm restricts each and every frequency coefficient to retain image information while compressing the noise. The algorithm makes use of the red-black wavelet transform in extracting image from the result, compressing its color noise and ringing effect. Experimental results showed that the algorithm is three times as effective than Wiener filtering, and power spectrum equalization filtering on the RSNand RSN′ parameters.",

keywords = "Frequency restricting, Image restoration, Red-black wavelet transform",

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AU - Qi, Jin Gang

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AU - Ni, Guo Qiang

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N2 - A novel algorithm of frequency restricted red-black wavelet transform for image restoration is presented. Introducing the frequency restricted factor, the algorithm restricts each and every frequency coefficient to retain image information while compressing the noise. The algorithm makes use of the red-black wavelet transform in extracting image from the result, compressing its color noise and ringing effect. Experimental results showed that the algorithm is three times as effective than Wiener filtering, and power spectrum equalization filtering on the RSNand RSN′ parameters.

AB - A novel algorithm of frequency restricted red-black wavelet transform for image restoration is presented. Introducing the frequency restricted factor, the algorithm restricts each and every frequency coefficient to retain image information while compressing the noise. The algorithm makes use of the red-black wavelet transform in extracting image from the result, compressing its color noise and ringing effect. Experimental results showed that the algorithm is three times as effective than Wiener filtering, and power spectrum equalization filtering on the RSNand RSN′ parameters.

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KW - Red-black wavelet transform

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Frequency restricted red-black wavelet transform for image restoration

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