DocumentCode :
3212862
Title :
Extending depth-of-field of a digital camera using particle swarm optimization based image fusion
Author :
Aslantas, Veysel ; Kurban, Rifat
Author_Institution :
Intell. Image Process. Lab., Erciyes Univ., Kayseri, Turkey
fYear :
2010
fDate :
7-10 June 2010
Firstpage :
1
Lastpage :
5
Abstract :
Images obtained by an optical camera are seriously affected from the limited depth of the field issue. That is, the objects located in-front-of or behind the focus of the camera are blurred. Everywhere-in-focus images can be obtained by combining focused regions of images which were captured by different focal settings. In this paper, an optimal region based spatial domain image fusion approach based on selecting sharper regions from the multi-focus source images is proposed. Size of the block type regions are optimized by using particle swarm optimization (PSO) algorithm. Quantitative and subjective experimental results of different image sets show that proposed method is better than traditional wavelet and Laplacian pyramid based and also genetic algorithm (GA) based methods.
Keywords :
cameras; image fusion; optical focusing; optical sensors; particle swarm optimisation; Laplacian pyramid algorithm; PSO algorithm; camera focus; digital camera; everywhere-in-focus images; genetic algorithm; optimal region based spatial domain image fusion; particle swarm optimization; wavelet algorithm; Consumer electronics; Decision support systems; Digital cameras; Image fusion; Particle swarm optimization; Multi-focus image fusion; extended depth of field; particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ISCE), 2010 IEEE 14th International Symposium on
Conference_Location :
Braunschweig
Print_ISBN :
978-1-4244-6671-9
Type :
conf
DOI :
10.1109/ISCE.2010.5523731
Filename :
5523731
Link To Document :
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