Name
Title | ||
|---|---|---|
Shearlet Threshold Denoising Method Based on Two Sub-swarm Exchange Particle Swarm Optimization |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GrC.2010.99 | GrC |
Keywords | Field | DocType |
image denoising scheme,signal representation,image representation,psnr,shearlet transform,existing scheme,image application,new effective signal representation,peak-signal-to-noise-ratio,edge preservation,particle swarm optimisation,pseudo-gibbs artifact,shearlet threshold denoising method,pseudo-gibbs artifacts,image noise,image denoising,proposed scheme,subswarm exchange particle swarm optimization,novel image,edge preservation ability,transforms,sub-swarm exchange particle swarm,particle swarm optimization,peak signal to noise ratio,noise reduction,mathematical model | Noise reduction,Particle swarm optimization,Peak signal-to-noise ratio,Pattern recognition,Swarm behaviour,Computer science,Shearlet,Shearlet transform,Image noise,Artificial intelligence,Image denoising | Conference |
ISBN | Citations | PageRank |
978-1-4244-7964-1 | 0 | 0.34 |
References | Authors | |
3 | 2 | |