Iterative methods for total variation denoising

Total variation (TV) methods are very effective for recovering "blocky," possibly discontinuous, images from noisy data. A fixed point algorithm for minimizing a TV penalized least squares functional is presented and compared with existing minimization schemes. A variant of the cell-center...

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Veröffentlicht in:	SIAM Journal on Scientific Computing 1996, Vol.17 (1), p.227-238
Hauptverfasser:	VOGEL, C. R, OMAN, M. E
Format:	Artikel
Sprache:	eng
Schlagworte:	ALGORITHMS Applied mathematics Applied sciences COMPARATIVE EVALUATIONS Exact sciences and technology FINITE DIFFERENCE METHOD IMAGE PROCESSING Information, signal and communications theory ITERATIVE METHODS Laboratories Lagrange multiplier LEAST SQUARE FIT Mathematical methods in physics MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS MESH GENERATION Methods MICROSCOPY Numerical approximation and analysis Numerical optimization Physics Signal processing SIGNAL-TO-NOISE RATIO Telecommunications and information theory THEORETICAL DATA Wavelet transforms
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