Image Denoising with Kernels based on Natural Image Relations

31 Jan 2016Valero LaparraJuan GutiérrezGustavo Camps-VallsJesús Malo

A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. However, analytical estimates can be obtained only for particular combinations of analytical models of signal and noise, thus precluding its straightforward extension to deal with other arbitrary noise sources... (read more)

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