DocumentCode :
2765476
Title :
A Novel Region Based Multifocus Image Fusion Method
Author :
Zaveri, Tanish ; Zaveri, Mukesh ; Shah, Virang ; Patel, Nirav
Author_Institution :
Comput. Eng. Dept., SVNIT, Surat, India
fYear :
2009
fDate :
7-9 March 2009
Firstpage :
50
Lastpage :
54
Abstract :
Image fusion is a process of combining multiple input images of the same scene into a single fused image, which preserves relevant information and also retains the important features from each of the original images and makes it more suitable for human and machine perception. In this paper, a novel region based image fusion method is proposed. In literature shows that region based image fusion algorithm performs better than pixel based fusion method. Proposed algorithm is applied on large number of registered images and results are compared using standard reference and no reference based fusion parameters. The proposed method is also compared with different methods reported in the recent literature. The simulation results show that our method performs better than other methods.
Keywords :
image fusion; image registration; image segmentation; human perception; image registration; machine perception; multifocus image fusion method; normalized cut set; region segmentation; Digital images; Discrete wavelet transforms; Focusing; Humans; Image fusion; Image reconstruction; Image resolution; Image segmentation; Pixel; Visual system; Image Fusion; Normalized cut set; Region Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Processing, 2009 International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-3565-4
Type :
conf
DOI :
10.1109/ICDIP.2009.27
Filename :
5190590
Link To Document :
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