Abstract
We present in this paper a new way to measure the information in a signal, based on noise modeling. We show that the use of such an entropy-related measure leads to good results for signal restoration.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jean-Luc Starck "Image restoration by multiscale entropy", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366843
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Wavelets

Interference (communication)

Image restoration

Signal to noise ratio

Deconvolution

Image filtering

Point spread functions

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