Multi-focus Image Fusion with Quantitative Analysis

Authors(2) :-S. Abirami, G. Rajasekaran

Multi-focus image fusion is the combining relevant information from two or more images of a same scene and as results has “all-in-focus” image. When one scene contains objects in different distance, the camera can be focused on one another of each object, generate set of pictures. Then, by applying image fusion techniques, an image with better focus across all area can be generated. This paper describes an image fusion system using different fusion techniques and the resultant is analyzed with quantitative measures. Initially, the registered images from two different modalities are considered as input image. For the resultant data the perceptual image fusion is applied and the fused image is analyzed with quantitative metrics namely Peak Signal –to- Noise Ratio (PSNR), Mutual Information (MI), Structural Similarity Index (SSIM). From this experimental result we observed that the proposed fusion method provides better result compared to the given images as justified by quantitative metrics.

Authors and Affiliations

S. Abirami
Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, TamilNadu , India
G. Rajasekaran
Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, TamilNadu , India

Image Fusion; Discrete Wavelet Transform; Dual Tree Complex Wavelet Transform; Quantitative Metrics

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 139-145
Manuscript Number : ICASCT2524
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

S. Abirami, G. Rajasekaran, " Multi-focus Image Fusion with Quantitative Analysis", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 5, pp.139-145, May-June-2017.
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