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2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Image Denoising Based on Non-local Means with Wiener Filtering in Wavelet Domain
Kyoto, Japan
September 12-September 14
ISBN: 978-0-7695-3762-7
| ASCII Text | x | ||
| Li Lin, Kong Lingfu, "Image Denoising Based on Non-local Means with Wiener Filtering in Wavelet Domain," Intelligent Information Hiding and Multimedia Signal Processing, International Conference on, pp. 471-474, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/IIH-MSP.2009.76, author = {Li Lin and Kong Lingfu}, title = {Image Denoising Based on Non-local Means with Wiener Filtering in Wavelet Domain}, journal ={Intelligent Information Hiding and Multimedia Signal Processing, International Conference on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3762-7}, pages = {471-474}, doi = {http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2009.76}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on TI - Image Denoising Based on Non-local Means with Wiener Filtering in Wavelet Domain SN - 978-0-7695-3762-7 SP471 EP474 A1 - Li Lin, A1 - Kong Lingfu, PY - 2009 KW - denoising KW - non-local means KW - wiener filtering KW - wavelet VL - 0 JA - Intelligent Information Hiding and Multimedia Signal Processing, International Conference on ER - | |||
Image denoising is a significant inverse problem of image processing and an important image pretreatment. The performance of image denoising is improved by using some statistic characteristics of natural image. In this paper, we combine the extensive self-similarity of images in non-local means algorithm with the minimum mean square error of Wiener filtering in wavelet domain, and then propose an image denoising algorithm based on the non-local means with wiener filtering in wavelet domain. The experimental results demonstrate that one can get denoised image with higher subjective visual quality and peak signal to noise ratio based on the proposed algorithm.
Index Terms:
denoising, non-local means, wiener filtering, wavelet
Citation:
Li Lin, Kong Lingfu, "Image Denoising Based on Non-local Means with Wiener Filtering in Wavelet Domain," iih-msp, pp.471-474, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2009
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