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2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)
There are many noise sources for images. Images are, in many cases, degraded even before they are encoded. In our previous paper , we focused on Poisson noise. Unlike additive Gaussian noise, Poisson noise is signal-dependent and separating signal from noise is a difficult task. A wavelet-based maximum likelihood method for Bayesian estimator that recovers the signal component of the wavelet coefficients in original images by using an alpha-stable signal prior distribution is demonstrated todoi:10.1109/icme.2004.1394195 fatcat:moyavfevifan7je4yazpj2s6ee