Title :
Using Particle Swarm Optimization algorithm for image enhancement
Author :
Chen, Hanxing ; Tian, Jun
Author_Institution :
Coll. of Comput. Sci. & Technol., Guizhou Univ., Guiyang, China
Abstract :
In this paper, a novel image enhancement method is presented. Firstly, an image filter based on Particle Swarm Optimization is adopted to eliminate noise. And then, image enhancement by Particle Swarm Optimization and DWT is presented to improve image quality. Experimental results demonstrate that this method outperforms the existing well-known methods.
Keywords :
discrete wavelet transforms; filtering theory; image enhancement; particle swarm optimisation; DWT; image enhancement method; image filter; image quality; particle swarm optimization algorithm; Digital filters; Discrete wavelet transforms; Filtering algorithms; Filtering theory; Gabor filters; Image enhancement; Noise; DWT; filter; image enhancement; particle swarm optimization;
Conference_Titel :
Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-9985-4
Electronic_ISBN :
978-1-4244-9984-7
DOI :
10.1109/URKE.2011.6007823
