Enhancement Technique of Infrared Images

Sadic, Neven; Hassan, Emad; El-Rabaie, S.; El-dolil, Sami; Dessoky, Moawad I.; El-samie, FathiAbd

doi:10.21608/mjeer.2021.146246

Enhancement Technique of Infrared Images

Document Type : Original Article

Authors

Dept. of Electronics and electrical communication, Faculty of electronic Engineering, Menoufia University, Egypt.

10.21608/mjeer.2021.146246

Abstract

This paper presents an efficient technique for enhancement of IR images, its basic idea is to use nonlinearities applied on the main trend in IR images extracted through a LPF and the details extracted through a HPF. Magnification of the details is applied, while damping of the main trend or local mean is also accomplished to attenuate the darkness effect in IRimages. Anon-linear model is applied anther trend and gain factor is applied to details .this gain is also derived from the local mean of the image the proposed approach succeeded in quality enhancement of IR images

Keywords

References

]1]A. Cohen and J. Kovacevec, ― Wavelets: The Mathematical Background,‖ Proceedings of the IEEE, vol. 84, no. 4, pp. 514- 522, April 1996 [2] J. S. Lim, Two-Dimensional Signal and Image Processing. Prentice Hall Inc., 1990. [3] Z. H. Long, ― Image Fusion Using Wavelet Transform,‖ in Proc. The Symposium on Geospatial Theory, Processing and Applications, 2002. [4] V. S. Petrovic and C. S. Xydeas, ― Gradient-Based Multiresolution Image Fusion,‖ IEEE Trans. Image Processing, vol. 13, no. 2, pp. 228-237, February 2004. [5] I. Daubechies, ― Where Do Wavelets Come From?—A Personal Point of View,‖ Proceedings of the IEEE, vol. 84, no. 4, pp. 510- 513, April 1996. [6] B. Zitova and J. Flusser, ―Image Registration Methods: A Survey,‖ Image and Vision Computing, vol. 21, pp. 977-1000, 2003. [7] M. Xia, and B. Liu, ― Image Registration by Super Curves,‖ IEEE Trans. Image Processing , vol. 13, no. 5, pp.720-732, May 2004. [8] D. Robinson and P. Milanfar, ―Fundamental Performance Limits in Image Registration,‖ vol. 13, no.9, pp. 1185-1199, September 2004. [9] W. K. Pratt, Digital Image Processing. John Wiley & Sons Inc., 1991. [10] H. Li, B. S. Manjunath and S. K. Mitra, ― Multi-Sensor Image Fusion Using The Wavelet Transform,‖ in Proc. ICIP, pp. 51-55, 1994.[11] G. Piella and H. Heijmans, ― Multiresolution Image Fusion Guided By A Multimodal Segmentation,‖ in Proc. ACIVS, pp. 1– 8, 2002. [12] J. H. Shin, J. H. Jung, J.K. Paik and M. A. Abidi, ― Data Fusion-Based Spatio-Temporal Adaptive Interpolation For Low-Resolution Video,‖ in Proc. ICIP , 2001. [13] Tamer Prli and Jae S. Lim, "Adaptive Filtering for Image Enhancement", 1981 IEEE, pp. 1117-1120. . [14] T. T. Neo, "Fusion of Night Vision and Thermal Images', M.Sc. Thesis, Naval Postgraduate School, University of New South Wales, Australia, 2006.
[15] S. Yin, L. Cao, Q. Tan, and G. Jin, "Infrared and Visible Image Fusion based on NSCT and Fuzzy Logic ", in Proc. of the IEEE Int. Conf. on Mechatronics and Automation, pp. 671-675, August 4-7, 2010.