DocumentCode :
3269263
Title :
Estimation of PSF for a Shaking Blurred Image Using GA
Author :
Shimomukai, Takumi ; Yoshioka, Michifumi ; Yanagimoto, Hidekazu
Author_Institution :
Dept. of Comput. Sci. & Intell. Syst., Osaka Prefecture Univ., Sakai, Japan
Volume :
2
fYear :
2011
fDate :
18-21 Dec. 2011
Firstpage :
342
Lastpage :
345
Abstract :
Development of downsized digital cameras causes a lot of undesirable shaking blurred images. In order to restore these images, we need to estimate the PSF (Point Spread Function) from them. It has been proposed to estimate the PSF using cepstrum images. There are the PSF features in the cepstrum images of blurred images. We can estimate the PSF by searching pixels in the cepstrum images. However, cepstrum images also show features of ground truth images which don´t have effects from shaking, so we can´t estimate the PSF accurately. We propose an estimation method of the PSF by using GA.We adopt the cepstrum images as a fitness function,thus the estimation results aren´t affected by other features in cepstrum images.We have just confirmed the effectiveness of our proposed method by using some simulations.
Keywords :
cepstral analysis; genetic algorithms; image restoration; optical transfer function; cepstrum image; downsized digital camera; fitness function; genetic algorithm; image restoration; point spread function; shaking blurred image; Cepstrum; Correlation; Educational institutions; Estimation; Image recognition; Image restoration; Image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4577-2134-2
Type :
conf
DOI :
10.1109/ICMLA.2011.165
Filename :
6147701
Link To Document :
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