A Primal-Dual Hybrid Gradient Algorithm to Solve the LLT Model for Image Denoising |
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Authors: | Chunxiao Liu Dexing Kong & Shengfeng Zhu |
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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
primal and dual variables alternately using the gradient
descent/ascent flows. Numerical examples are provided to demonstrate
the superiority of our algorithm. |
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Keywords: | LLT model image denoising primal-dual |
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