Novel information processing for image de-noising based on sparse basis

Sheikh Md Rabiul Islam, Xu Huang, Keng-Liang Ou, Raul Fernandez Rojas, Hongyan Cui

研究成果: 書貢獻/報告類型會議貢獻

3 引文 (Scopus)

摘要

Image de-noising is one of the important information processing technologies and a fundamental image processing step for improving the overall quality of medical images. Conventional de-noising methods, however, tend to over-suppress high-frequency details. To overcome this problem, in this paper we present a novel compressive sensing (CS) based noise removing algorithm using proposed sparse basis on CDF9/7 wavelet transform. The measurement matrix is applied to the transform coefficients of the noisy image for compressive sampling. The orthogonal matching pursuit (OMP) and Basis Pursuit (BP) are applied to reconstruct image from noisy sparse image. In the reconstruction process, the proposed threshold with Bayeshrink thresholding strategies is used. Experimental results demonstrate that the proposed method removes noise much better than existing state-of-the-art methods in the sense image quality valuation indexes.
原文英語
主出版物標題Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
發行者Springer Verlag
頁面443-451
頁數9
9491
ISBN(列印)9783319265544
DOIs
出版狀態已發佈 - 2015
事件22nd International Conference on Neural Information Processing, ICONIP 2015 - Istanbul, 土耳其
持續時間: 十一月 9 2015十一月 12 2015

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9491
ISSN(列印)03029743
ISSN(電子)16113349

其他

其他22nd International Conference on Neural Information Processing, ICONIP 2015
國家土耳其
城市Istanbul
期間11/9/1511/12/15

指紋

Image denoising
Image Denoising
Information Processing
Wavelet transforms
Image quality
Image processing
Sampling
Basis Pursuit
Matching Pursuit
Compressive Sensing
Medical Image
Thresholding
Denoising
Valuation
Image Quality
Wavelet Transform
Image Processing
Tend
Transform
Experimental Results

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

引用此文

Rabiul Islam, S. M., Huang, X., Ou, K-L., Rojas, R. F., & Cui, H. (2015). Novel information processing for image de-noising based on sparse basis. 於 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (卷 9491, 頁 443-451). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9491). Springer Verlag. https://doi.org/10.1007/978-3-319-26555-1_50

Novel information processing for image de-noising based on sparse basis. / Rabiul Islam, Sheikh Md; Huang, Xu; Ou, Keng-Liang; Rojas, Raul Fernandez; Cui, Hongyan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 卷 9491 Springer Verlag, 2015. p. 443-451 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9491).

研究成果: 書貢獻/報告類型會議貢獻

Rabiul Islam, SM, Huang, X, Ou, K-L, Rojas, RF & Cui, H 2015, Novel information processing for image de-noising based on sparse basis. 於 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 卷 9491, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 9491, Springer Verlag, 頁 443-451, 22nd International Conference on Neural Information Processing, ICONIP 2015, Istanbul, 土耳其, 11/9/15. https://doi.org/10.1007/978-3-319-26555-1_50
Rabiul Islam SM, Huang X, Ou K-L, Rojas RF, Cui H. Novel information processing for image de-noising based on sparse basis. 於 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 卷 9491. Springer Verlag. 2015. p. 443-451. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-26555-1_50
Rabiul Islam, Sheikh Md ; Huang, Xu ; Ou, Keng-Liang ; Rojas, Raul Fernandez ; Cui, Hongyan. / Novel information processing for image de-noising based on sparse basis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 卷 9491 Springer Verlag, 2015. 頁 443-451 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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