DocumentCode :
1188635
Title :
Reconstructing arbitrarily focused images from two differently focused images using linear filters
Author :
Kubota, Akira ; Aizawa, Kiyoharu
Author_Institution :
Dept. of Inf. Process., Tokyo Inst. of Technol., Kanagawa, Japan
Volume :
14
Issue :
11
fYear :
2005
Firstpage :
1848
Lastpage :
1859
Abstract :
We present a novel filtering method for reconstructing an all-in-focus image or an arbitrarily focused image from two images that are focused differently. The method can arbitrarily manipulate the degree of blur of the objects using linear filters without segmentation. The filters are uniquely determined from a linear imaging model in the Fourier domain. An effective and accurate blur estimation method is developed. The simulation results show that the accuracy and computational time of the proposed method are improved compared with the previous iterative method and that the effects of blur estimation error on the quality of the reconstructed image are very small. The method performs well for real images acquired without visible artifacts.
Keywords :
filtering theory; image restoration; Fourier domain; accurate blur estimation method; arbitrarily focused image reconstruction; inverse filter; linear filter; linear imaging model; Filtering; Focusing; Image fusion; Image generation; Image reconstruction; Image restoration; Image segmentation; Layout; Nonlinear filters; Rendering (computer graphics); Blur estimation; image reconstruction; inverse filter; multifocus images; out-of-focus blur; Algorithms; Artifacts; Artificial Intelligence; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Linear Models; Numerical Analysis, Computer-Assisted; Signal Processing, Computer-Assisted; Subtraction Technique;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2005.854468
Filename :
1518949
Link To Document :
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