Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

This is an Open Access publication published under CSC-OpenAccess Policy.
Image Enhancement by Image Fusion for Crime Investigation
S Kanaga Suba Raja, J. Austin Ben Das, K Deepak Kumar
Pages - 85 - 93     |    Revised - 31-05-2016     |    Published - 30-06-2016
Volume - 10   Issue - 2    |    Publication Date - June 2016  Table of Contents
Image Fusion, Image Enhancement, Image Pyramids, Wavelet Transformation, Image Blending.
In the criminal investigation field, images are the principal forms for investigation and for probing crime detection. The imaging science applied in criminal investigation is face detection, surveillance camera imaging, and crime scene analysis. Digital imaging succors image manipulation, alteration and enhancement techniques. The traditional methodologies enhance the given image by improving the local or global components of the image. It proves a debacle since it engages noise amplification, block discontinuities, colour mismatch, edge distortion and checkerboard effects thereby limiting image processing tasks. To the same degree of enhancement, spurned artefacts are given rise. Thus to balance the global and local factors of the image and to weed out the tenebrous components; fusion of multiple alike images are performed to produce a meliorated image. The fusion is done by fusing a pyramid constructed image and a wavelet transformed image. The pyramid image and the wavelet transformed image are then fused through to afford a revealing image for better perception by the human visual system. The experimental results show that our proposed fusion scheme is effective and the fusion is applied over a surveillance camera image grab.
CITED BY (0)  
1 CiteSeerX
2 refSeek
3 Scribd
4 SlideShare
5 PdfSR
1 Amina Saleem, Azeddine Beghdadi, Boualem Boashash “Image fusion-based contrast enhancement”, EURASIP Journal on Image and Video Processing, May 2012.
2 R.A. Hummel, “Image Enhancement by Histogram Transformation”, Computer Graphics and Image Processing, vol.6, 1977.
3 Jyoti Agarwal and Sarabjeet Singh Bedi, “Implementation of hybrid image fusion technique for feature enhancement in medical diagnosis”, Human-centric Computing and Information Sciences, Springer Open, Dec. 2014.
4 Shaohua Chen and Azeddine Beghdadi, “Natural Enhancement of Color Image”, EURASIP Journal on Image and Video Processing, vol. 2010, Jul. 2010.
5 E.H. Adelson, C.H. Anderson, J.R. Bergen, P.J. Burt and J.M. Ogden, “Pyramid methods in image processing”, RCA Corporation, 1984.
6 Guoliang Tang, Jiexin Pu and Xinhan Huang, “Image Fusion Based on Multi-wavelet Transform”, in Proc. International Conference on Mechatronics and Automation, 2006.
7 Jian Cheng, Haijun Liu, Ting Liu, Feng Wang and Hongsheng Li, “Remote sensing image fusion via wavelet transform and sparse representation”, ISPRS Journal of Photogrammetry and Remote Sensing, Vol.104, pp.158–173, 2015.
8 Kashif Iqbala, Michael Odetayoa, Anne Jamesa, Rahat Iqbala, Neeraj Kumarb and Shovan Barmac, “An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images”, Neurocomputing, pp.413–430, 2015.
9 D. Wang, A.H. Vagnucci, “Digital image enhancement”, Computer Visualization and Graphics, vol. 24, Image Process, pp.363-381, 1981.
10 J.L. Stark, E. Candes, D.L. Donoho, “The curvelet transform for image denoising”, IEEE Transactions on Image Processing, pp. 670-684, Jun. 2002.
11 S. Chen and A. Beghdadi, “Natural rendering of color image based on retinex,” in Proc. IEEE International Conference on Image Processing (ICIP ’09), Nov. 2009.
12 P.J. Burt, A.H. Adelson, “A multiresolution spline with application to image mosaics” ACM Transactions on Graphics, vol.2, Issue 4, pp. 217-236, Oct.1983.
13 P.J. Burt, A.H. Adelson, “The Laplacian Pyramid as a Compact Image Code” IEEE Transactions on Communications, vol.31, pp. 532-540, Apr.1983.
14 K.P. Soman and K.I. Ramachandran. Insight into Wavelets from Theory to Practice, 2nd edn. New Delhi: PHI Learning, 2005.
15 Chipman, T.M. Orr and L.N. Graham, “Wavelets and image fusion”, in Proc. International Conference on Image Processing, Vol.3, pp. 248 - 251, 1995.
16 Naidu, V.P.S and Rao, J.R. “Pixel-level Image Fusion using Wavelets and Principal Component Analysis”, Defence Science Journal, Vol. 58, No. 3, pp. 338-352, May 2008.
17 Beghdadi A, Negrate A.L, “Contrast enhancement technique based on local detection of edges” Comput Visual Graph Image Process, pp. 62-274, 1989.
18 R.C. Gonzalez, R.E. Woods (2002) Digital Image Processing, Prentice Hall.
19 Raskar R, Ilie A, Yu J,”Image fusion for context enhancement and video surrealism” Proceedings of the 3rd Symposium on Non-Photorealistic Animation and Rendering, pp. 85-152, 2004.
20 T.D. Dixon, E.F. Canga, J.M. Noyes, T. Troscianko, S.G. Nikolov, D.R. Bull, C.N. Canagarajah, “Methods for the assessment of fused images”, ACM Transactions on Applied Perception (TAP), vol.3, pp. 309-332, July 2006.
21 Timothy D. Dixon, Jan Noyes, Tom Troscianko, Eduardo Fernández Canga, Dave Bull, Nishan Canagarajah, “Psychophysical and metric assessment of fused images”, Proceedings of the 2nd symposium on Applied perception in graphics and visualization, pp. 43-50, 2005.
Dr. S Kanaga Suba Raja
Department of Information Technology, Easwari Engineering College - India
Mr. J. Austin Ben Das
Easwari Engineering College - India
Mr. K Deepak Kumar
Easwari Engineering College - India