1 July 1994 Image restoration using biorthogonal wavelet transforms
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Optical Engineering, 33(7), (1994). doi:10.1117/12.166893
Abstract
One well-known method to solve ill-posed problems in image restoration is to use regularization techniques. A new scheme is proposed for digital image restoration based on a regularization method and on the biorthogonal wavelet transform. We show that, in cases where the blur filter can be considered as a low-pass filter of a biorthogonal multiresolution analysis, it is possible to obtain an efficient family of regularization operators from the convolution operator alone.
Jean-Michel Bruneau, Pierre Mathieu, "Image restoration using biorthogonal wavelet transforms," Optical Engineering 33(7), (1 July 1994). http://dx.doi.org/10.1117/12.166893
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KEYWORDS
Wavelets

Image restoration

Wavelet transforms

Linear filtering

Convolution

Signal to noise ratio

Biological research

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