Image restoration with noise suppression using the wavelet transform

Details Image restoration with noise suppression using the wavelet transform Image restoration with noise suppression using the wavelet transform

Aug 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994a%26a...288..342s&link_type=abstract

Astronomy and Astrophysics (ISSN 0004-6361), vol. 288, no. 1, p. 342-348

Mathematics

47

Algorithms, Image Enhancement, Image Processing, Noise Reduction, Wavelet Analysis, Analysis (Mathematics), Low Pass Filters, Transformations (Mathematics)

Scientific paper

This paper shows how an effective noise suppression strategy can be incorporated into image restoration algorithms. The widely-used Richardson-Lucy method is used here. The residual in the fit of the restored image, at each iteration, is analyzed using a wavelet transform. In order to suppress noise, significant wavelet coefficients, only, are retained. The effectiveness of this procedure is illustrated with a range of examples. Limitations of this approach, and pointers to work in progress, are also outlined.

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