Image denoising using principal component analysis in the wavelet domain
نویسندگان
چکیده
منابع مشابه
Image Denoising using Principal Component Analysis in Wavelet Domain and Total Variation Regularization in Spatial Domain
This paper presents an efficient denoising technique for removal of noise from digital images by combining filtering in both the transform (wavelet) domain and the spatial domain. The noise under consideration is AWGN and is treated as a Gaussian random variable. In this work the Karhunen-Loeve transform (PCA) is applied in wavelet packet domain that spreads the signal energy in to a few princi...
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Wavelet domain denoising has recently attracted much attention , mostly in conjunction with the coeecient-wise wavelet shrinkage proposed by Donoho 1]. While shrinkage is asymp-totically minimax-optimal, in many image processing applications a mean-squares solution is preferable. Most MMSE solutions that have appeared so far are based on an un-correlated signal model in the wavelet domain, resu...
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ژورنال
عنوان ژورنال: Journal of Computational and Applied Mathematics
سال: 2006
ISSN: 0377-0427
DOI: 10.1016/j.cam.2005.04.030