Noise selection approach to image restoration

Francois Malgouyres

doi:10.1117/12.449713

5 December 2001 Noise selection approach to image restoration

Francois Malgouyres

Proceedings Volume 4478, Wavelets: Applications in Signal and Image Processing IX; (2001) https://doi.org/10.1117/12.449713
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

This paper deals with a restoration (both denoising and deblurring) method. For instance in the case of denoising, this latter is only a small modification from the usual wavelet thresholding. However, it has the significant advantage to allow the use of several bases in such a way that we select what is considered as information by a basis or another basis or another basis, and so on for as many bases as we want. The computational cost of the method is mainly the computation of the coordinates of the signal (or image) in the bases.

Citation Download Citation

Francois Malgouyres "Noise selection approach to image restoration", Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); https://doi.org/10.1117/12.449713

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