Image enhancement and denoise based on structure self-similarity and wavelet transform coefficients

Image denoise is a very important method in image quality improvement. And, the image quality evaluation is another important aspect in image processing. In the paper, a novel enhancement algorithm based on wavelet transform (WT) and structure self-similarity (SSS) is introduced, which was attested...

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Bibliographic Details
Published in2010 International Conference on Mechanic Automation and Control Engineering pp. 6335 - 6340
Main Authors Jiao Feng, Xie Yonghua, Xing Guowen, Naixue Xiong, Mei Yuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Biomedical imaging
Computer science
Degradation
Denoise
Discrete wavelet transforms
Enhancement
Image enhancement
Image quality
Image resolution
Low-frequency noise
Medical diagnostic imaging
Quality Evaluation
Self-Similar Structure
Wavelet Transform
Wavelet transforms
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Summary:Image denoise is a very important method in image quality improvement. And, the image quality evaluation is another important aspect in image processing. In the paper, a novel enhancement algorithm based on wavelet transform (WT) and structure self-similarity (SSS) is introduced, which was attested to algorithm effective for enhancement and confining random noise. The algorithm mainly includes two steps. At first, image was separated into 4 N blocks equally based on the self-similarity. And then, wavelet transform coefficients were used to enhance edge characters. At the same time, image noises are also confined. Experiment results show the excellent effect of the algorithm.
ISBN:9781424477371
1424477379
DOI:10.1109/MACE.2010.5535383