DocumentCode :
1649386
Title :
Multifocus Image Fusion via Region Reconstruction
Author :
Jiangyong Duan ; Gaofeng Meng ; Shiming Xiang ; Chunhong Pan
Author_Institution :
NLPR, Instn. of Autom., Beijing, China
fYear :
2013
Firstpage :
396
Lastpage :
400
Abstract :
This paper presents a new method for multifocus image fusion. We formulate the problem as an optimization framework with three terms to model common visual artifacts. A reconstruction error term is used to remove the boundary seam artifacts, and an out-of-focus energy term is used to remove the ringing artifacts. Together with an additional smoothness term, these three terms define the objective function of our framework. The objective function is then minimized by an efficient greedy iteration algorithm. Our method produces high quality fusion results with few visual artifacts. Comparative results demonstrate the efficiency of our method.
Keywords :
greedy algorithms; image fusion; image reconstruction; iterative methods; minimisation; smoothing methods; boundary seam artifact removal; common visual artifacts; greedy iteration algorithm; multifocus image fusion; objective function minimization; optimization framework; out-of-focus energy term removal; reconstruction error term; region reconstruction; ringing artifact removal; smoothness term; Cameras; Image fusion; Image reconstruction; Image segmentation; Linear programming; Optimization; Visualization; multifocus image fusion; region reconstruction; ringing removal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
Conference_Location :
Naha
Type :
conf
DOI :
10.1109/ACPR.2013.92
Filename :
6778348
Link To Document :
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