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- W2323978613 abstract "We propose an efficient gradient-type algorithm to solve the fourth-order LLT denoising model for both gray-scale and vector-valued images. Based on the primal-dual formulation of the original nondifferentiable model, the new algorithm updates the pri- mal and dual variables alternately using the gradient descent/ascent flows. Numerical examples are provided to demonstrate the superiority of our algorithm. AMS subject classifications: 68U10, 65K10" @default.
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- W2323978613 date "2012-05-01" @default.
- W2323978613 modified "2023-09-22" @default.
- W2323978613 title "A Primal-Dual Hybrid Gradient Algorithm to Solve the LLT Model for Image Denoising" @default.
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- W2323978613 doi "https://doi.org/10.1017/s1004897900000817" @default.
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