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A Primal-Dual Hybrid Gradient Algorithm to Solve the LLT Model for Image Denoising
Published online by Cambridge University Press: 28 May 2015
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.
- Type
- Research Article
- Information
- Numerical Mathematics: Theory, Methods and Applications , Volume 5 , Issue 2 , May 2012 , pp. 260 - 277
- Copyright
- Copyright © Global Science Press Limited 2012