Image Denoising Methods for New TVL1 Models with Impulse Noisey
Jae Heon Yun · International Journal of Engineering Research and Technology · 2020
In this paper, we first propose two TVL1 variational problems for restoring images degraded by impulse noise, and then we propose two fixed-point-like methods for solving the new proposed TVL1 problems.Numerical experiments for several test images corrupted by impulse noise and several damaged images overlying with texts are provided to demonstrate the efficiency and reliability of the proposed fixed-point-like methods.Numerical results show that two fixed-point-like methods for solving the new TVL1 problems perform significantly better in the image quality measured by PSNR than a fixed-point method for solving an existing TVL1 problem.