Which wavelet bases are the best for image denoising?

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5914, Issue , 2005, Pages 1-12

  Luisier, Florian ^a   Blu, Thierry ^a   Forster, Brigitte ^b   Unser, Michael ^a  

^a EPFL   (Switzerland)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Image denoising; Wavelet thresholding; Wavelet transform; Wavelets choice

Indexed keywords

ACOUSTIC VARIABLES CONTROL; GAUSSIAN NOISE (ELECTRONIC); IMAGE ANALYSIS; SIGNAL TO NOISE RATIO; WHITE NOISE;

IMAGE DENOISING; WAVELET THRESHOLDING; WAVELETS CHOICE;

WAVELET TRANSFORMS;

EID: 30844469771     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.614999     Document Type: Conference Paper

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