A fast iterative thresholding algorithm for wavelet-regularized deconvolution - art. no. 67010D

We present an iterative deconvolution algorithm that minimizes a functional with a non-quadratic wavelet-domain regularization term. Our approach is to introduce subband-dependent parameters into the bound optimization framework of Daubechies et al.; it is sufficiently general to cover arbitrary choices of wavelet bases (non-orthonormal or redundant). The resulting procedure alternates between the following two steps:


Published in:
Wavelets Xii, Pts 1 And 2, 6701, D7010-D7010
Presented at:
Conference on Wavelets XII, San Diego, CA, Aug 26-29, 2007
Year:
2007
Publisher:
Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa
ISBN:
978-0-8194-6849-9
Keywords:
Laboratories:




 Record created 2012-07-04, last modified 2018-03-17


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