Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain
- 13 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 37-40
- https://doi.org/10.1109/icip.2001.958418
Abstract
Standard to decompose images with multi-scale band-pass oriented filters. These representations have been shown to decouple some high-order statistical features of natural im- ages. In this paper, we describe a stochastic model for lo- cal neighborhoods of coefficients of such a representation, in which the parameters are governed by a hidden random field. Specifically, local neighborhood of coefficients are modeled as the product of a Gaussian random vector and a hidden multiplier variable. We describe an efficient de- noising method based on this model, and demonstrate the strength of the approach through numerical experiments.Keywords
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