Spatially adaptive wavelet thresholding with context modeling for image denoising

The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on developing the best uniform threshold or best basis selection. However, not much has been done to make the threshold val...

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Veröffentlicht in:	IEEE transactions on image processing 2000-09, Vol.9 (9), p.1522-1531
Hauptverfasser:	Chang, S.G., Bin Yu, Vetterli, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Coefficients Computer science control theory systems Context modeling Exact sciences and technology Gaussian distribution Image coding Image compression Image processing Image quality Information, signal and communications theory Mathematical models Noise reduction Parameter estimation Pattern recognition. Digital image processing. Computational geometry Random variables Signal processing Statistics Strategy Studies Telecommunications and information theory Thresholds Wavelet Wavelet coefficients Wavelet transforms
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