Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery
نویسندگان
چکیده
منابع مشابه
Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery
We address the minimization of regularized convex cost functions which are customarily used for edge-preserving restoration and reconstruction of signals and images. In order to accelerate computation, the multiplicative and the additive half-quadratic reformulation of the original cost-function have been pioneered in Geman & Reynolds (1992) and Geman & Yang (1995). The alternate minimization o...
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ژورنال
عنوان ژورنال: SIAM Journal on Scientific Computing
سال: 2005
ISSN: 1064-8275,1095-7197
DOI: 10.1137/030600862