Shearlet Threshold Denoising Method Based on Two Sub-swarm Exchange Particle Swarm Optimization
Hui Sun, Jia Xi Zhao · 2010
Shearlet is a new effective signal representation tool in many image applications. A novel image denoising scheme based on Shearlet transform and particle swarm optimization is proposed in this paper. Experiments show that the proposed scheme can remove the pseudo-Gibbs artifacts and image noise effectively. Besides, it outperforms the existing schemes in regard of both the peak-signal-to-noise-ratio (PSNR) and the edge preservation ability.