References
[1]. S. Li, J.T. Kwok, Y. Wang, Combination of images with diverse focuses
using the spatial frequency. Inf. Fusion 2 (2001)169-176.
[2]. http://www.ablen.com/hosting/imagefusion/ publications/theses/canga-msc-
2002.pdf.
[3]. J. W. Huang, Y. Q. Shi and X. H. Dai, "A segmentation- based image coding
algorithm using the features of human vision system". Journal of Image and Graphics, 1999,
vol.4(A), no.5, pp.400-404.
[4]. Li Youping, Xu Qingfen, Bian Guoliang, "Study on Quality Evaluation of
Compressed Remote Sensing Images" Beijing Remote Sensing Information Institute,
[5]. G. Piella and H. A Heijmans, A new quality metric for image fusion.
International Conference on Image Processing, ICIP, Barcelona, 2003.
[6], Bijay Shrestha, Charles G. O’Hara, Nicolas H. Younan, Jpeg2000: Image
Quality Metrics, Asprs 2005 Annual Conference Baltimore, Maryland, March 7-11,2005.
[7]. Zhou Wang and Alan C. BovikLigang Lu, Why Is Image Quality Assessment
So Difficult? research was supported in part by IBM Corporation, Inc,, Texas Instruments, Inc.,
and by State of Texas Advanced Technology Program.
[8]. Zhang, Z., Blum, R.S., Image fusion for a digital camera application. Signals,
Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Volume 1, Issue , 1 -4 Nov 1998 Page(s):603-607.
[9], J. Zeng*, A. Sayedelahl, T. Gilmore, R Frazier and M. Chouikha, Assessing
Image Fusion Methods For Unconstrained Outdoor Scenes, Department of Electrical and
Computer Engineering, Howard University, Washington, DC 20059.
[10]. Zhijun Wang, Deren Li, A Image Fusion Method: Improve the Spatial
Resolution While Preserve the Color, Wuhan Technical University of Surveying and Mapping
Wuhan, Hubei, RR. China.