Wavelet-based Image Denoising with Optimal Filter


Yong-Hwan Lee, Sang-Burm Rhee, Journal of Information Processing Systems Vol. 1, No. 1, pp. 32-35, Dec. 2005


Keywords: Image denoising, Noise Reduction Wavelet
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Abstract

Image denoising is basic work for image processing, analysis and computer vision. This paper proposes a novel algorithm based on wavelet threshold for image denoising, which is combined with the linear CLS (Constrained Least Squares) filtering and thresholding methods in the transform domain. We demonstrated through simulations with images contaminated by white Gaussian noise that our scheme exhibits better performance in both PSNR (Peak Signal-to-Noise Ratio) and visual effect.


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Cite this article
[APA Style]
Yong-Hwan Lee and Sang-Burm Rhee (2005). Wavelet-based Image Denoising with Optimal Filter. Journal of Information Processing Systems, 1(1), 32-35. DOI: .

[IEEE Style]
Y. Lee and , "Wavelet-based Image Denoising with Optimal Filter," Journal of Information Processing Systems, vol. 1, no. 1, pp. 32-35, 2005. DOI: .

[ACM Style]
Yong-Hwan Lee and Sang-Burm Rhee. 2005. Wavelet-based Image Denoising with Optimal Filter. Journal of Information Processing Systems, 1, 1, (2005), 32-35. DOI: .