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

  1. Firooz Sadjadi, “Comparative Image Fusion???????????? Analysis”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 3, June 2005
  2. Huaixin Chen, “A Multiresolution Image Fusion Based on Principle Component Analysis”, Fourth International Conference on Image and Grapics, pp. 737-741, August 2007.
  3. Oliver Rockinger, “Image Sequence Fusion Using a Shift-Invariant Wavelet Transform”, International Conference on Image Processing, Vol. 3, pp.288, October 1997.
  4. Peter J.Burt, Edward H.Adelson, “The Laplacian Pyramid ass a Compacct Image Code”, IEEE Transcations on Communications, Vol.31, pp. 532-540, April 1983.
  5. James E.Fowler, “The Redundant Discrete Wavelet Transform and Additive Noise”, IEEE Signal Processing Letters, Vol.12, No.9, September 2005
  6. Souparnika Jadhav, “Image Fusion Based on Wavelet Transform”, International Journal of Engineering Reasearch, Vol. 3, pp. 442-445, July 2014.
  7. L.yang, B.L.Guo, W.Ni, “Multimodality Medical Image Fusion Based on Multiscale Geometric Analysis of Contourlet Transform”, Elsevier Science Publishers, Vol. 72, pp. 203-211, December 2008.
  8. Z.liu, L.J.Karam, and A.B.Watson, “JPEG2000 encodind with perceptual distortion control,” IEEE Transactions on Image Processing, Vol. 15, no.7, pp. 1763-1778, July 2006.
  9. C.-H. Chou and Y.-C. Li, “A Perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 5, n0. 6, pp.467-476, 1995.
  10. P.C.Teo and D.J.Heeger, “Perceptual image distortion”, in IEEE International conference on image processing, 1994, pp. 982-986.
  11. V.Petrovic, “Subjective tests for image fusion evaluation and objective metric validation”, Information Fusion, Vol. 8, no. 2, pp. 208-216, 2007

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. Available at doi : 10.32628/ICASCT2524
Journal URL : http://ijsrst.com/ICASCT2524

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