Adaptive Edge-Preserving Image Denoising using Arbitrarily Shaped Local Windows in Wavelet Domain
暂无分享,去创建一个
[1] Kannan Ramchandran,et al. Low-complexity image denoising based on statistical modeling of wavelet coefficients , 1999, IEEE Signal Processing Letters.
[2] P. M. Mather,et al. An adaptive filter for removal of noise in interferometrically derived digital elevation models , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).
[3] Linda G. Shapiro,et al. Computer Vision , 2001 .
[4] David L. Donoho,et al. De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.
[5] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[6] B. Silverman,et al. The Stationary Wavelet Transform and some Statistical Applications , 1995 .
[7] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Azriel Rosenfeld,et al. Computer Vision , 1988, Adv. Comput..
[9] William A. Pearlman,et al. Speckle filtering of SAR images based on adaptive windowing , 1999 .
[10] Vipin Tyagi,et al. Spatial and Frequency Domain Filters for Restoration of Noisy Images , 2013 .
[11] Norman Weyrich,et al. Wavelet shrinkage and generalized cross validation for image denoising , 1998, IEEE Trans. Image Process..
[12] D. L. Donoho,et al. Ideal spacial adaptation via wavelet shrinkage , 1994 .
[13] Martin J. Wainwright,et al. Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..
[14] Wilhelm Burger,et al. Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.
[15] G.. A Theory for Multiresolution Signal Decomposition : The Wavelet Representation , 2004 .
[16] Rodrigo Minetto,et al. Adaptive edge-preserving image denoising using wavelet transforms , 2013, Pattern Analysis and Applications.
[17] Vipin Tyagi,et al. An adaptive edge-preserving image denoising technique using tetrolet transforms , 2015, The Visual Computer.
[18] Martin Vetterli,et al. Adaptive wavelet thresholding for image denoising and compression , 2000, IEEE Trans. Image Process..
[19] Vipin Tyagi,et al. A survey of edge-preserving image denoising methods , 2016, Inf. Syst. Frontiers.
[20] I. Selesnick,et al. Bivariate shrinkage with local variance estimation , 2002, IEEE Signal Processing Letters.
[21] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[22] Olga Veksler,et al. A Variable Window Approach to Early Vision , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Martin Vetterli,et al. Spatially adaptive wavelet thresholding with context modeling for image denoising , 2000, IEEE Trans. Image Process..
[24] H. Chipman,et al. Adaptive Bayesian Wavelet Shrinkage , 1997 .
[25] Kannan Ramchandran,et al. Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[26] Vipin Tyagi,et al. LAPB: Locally adaptive patch-based wavelet domain edge-preserving image denoising , 2015, Inf. Sci..