Title :
Search efficiency function- PSO combination for blind image restoration
Author :
Toumi, Ahmed ; Rechid, N. ; Taleb-Ahmed, A. ; Benmahammed, K.
Author_Institution :
Univ. Mohamed Khidher, Biskra, Algeria
Abstract :
In this work we propose, for the first time, a combined method for blind image restoration. This combination is based on PSO and the integration in it of the search efficiency function that represent the optimal searching strategy elaborated by honeybees when searching for food, and its use for the first time in image processing, to carry out the restoration operation of the only blurred images and blurred and noisy ones. The results we got were excellent.
Keywords :
image restoration; particle swarm optimisation; PSO combination; blind image restoration; blurred images; image processing; noisy images; particle swarm optimisation; search efficiency function; Cost function; Degradation; Educational institutions; Image restoration; Noise measurement; PSNR; Particle swarm optimization; Blind image restoration; PSNR; PSO; Search Efficiency Function;
Conference_Titel :
Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1657-6
DOI :
10.1109/SETIT.2012.6481931
