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A dual algorithm for minimization of the LLT model. (English) Zbl 1170.94006
Summary: We apply the dual algorithm of Chambolle for the minimization of the LLT model. A convergence theorem is given for the proposed algorithm. The algorithm overcomes the numerical difficulties related to the non-differentiability of the LLT model. The dual algorithm is faster than the original gradient descent algorithm. Numerical experiments are supplied to demonstrate the efficiency of the algorithm.

94A08 Image processing (compression, reconstruction, etc.) in information and communication theory
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