Title :
Shearlet Threshold Denoising Method Based on Two Sub-swarm Exchange Particle Swarm Optimization
Author :
Sun, Hui ; Zhao, Jia
Author_Institution :
Sch. of Inf. Eng., Nanchang Inst. of Technol., Nanchang, China
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.
Keywords :
image denoising; image representation; particle swarm optimisation; transforms; PSNR; Shearlet transform; edge preservation; image denoising scheme; image noise; peak-signal-to-noise-ratio; pseudo-Gibbs artifacts; shearlet threshold denoising method; signal representation; subswarm exchange particle swarm optimization; Equations; Mathematical model; Noise reduction; PSNR; Particle swarm optimization; Transforms; PSNR; image denoising; particle swarm optimization; shearlet transform;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.99
