QUALITY ASSESMENT OFWAVELET BASED IMAGE FUSION TECHNIQUES
El Ejaily, A., El Tohamy, F., El Nahass, M. (2012). QUALITY ASSESMENT OFWAVELET BASED IMAGE FUSION TECHNIQUES. EKB Journal Management System, 8(8th International Conference on Electrical Engineering ICEENG 2012), 1-17. doi: 10.21608/iceeng.2012.30652
A. M. El Ejaily; F. El Tohamy; M. Y. El Nahass. "QUALITY ASSESMENT OFWAVELET BASED IMAGE FUSION TECHNIQUES". EKB Journal Management System, 8, 8th International Conference on Electrical Engineering ICEENG 2012, 2012, 1-17. doi: 10.21608/iceeng.2012.30652
El Ejaily, A., El Tohamy, F., El Nahass, M. (2012). 'QUALITY ASSESMENT OFWAVELET BASED IMAGE FUSION TECHNIQUES', EKB Journal Management System, 8(8th International Conference on Electrical Engineering ICEENG 2012), pp. 1-17. doi: 10.21608/iceeng.2012.30652
El Ejaily, A., El Tohamy, F., El Nahass, M. QUALITY ASSESMENT OFWAVELET BASED IMAGE FUSION TECHNIQUES. EKB Journal Management System, 2012; 8(8th International Conference on Electrical Engineering ICEENG 2012): 1-17. doi: 10.21608/iceeng.2012.30652

QUALITY ASSESMENT OFWAVELET BASED IMAGE FUSION TECHNIQUES

The International Conference on Electrical Engineering
Article 18, Volume 8, 8th International Conference on Electrical Engineering ICEENG 2012, May 2012, Page 1-17  XML PDF (2.68 MB)
Document Type: Original Article
DOI: 10.21608/iceeng.2012.30652
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Authors
A. M. El Ejaily1; F. El Tohamy2; M. Y. El Nahass3
1Ph.D. student Libyan armed forces.
2Ph.D. Egyptian armed forces.
3Prof. Alazhar University, Cairo, Egypt.
Abstract
image fusion is a process of producing a single fused image from a set of input images. The fused image has enhanced information more than any of the input images In this paper a wavelet based image fusion experiments are carried out, and the impacts of changing various wavelet parameters on the quality of the fused image are investigated. The fusion of wavelet coefficients is done according to three algorithms. Fusion experiments are performed on QuickBird panchromatic (PAN) and multispectral (MS) images. In order to evaluate the quality of the fused images four quantitive measures of correlation coefficients, root mean square error, information entropy, and standard deviation are used. Fusion methods like IHS transform and brovey transform method are investigated, and their results are compared with that of our experiments based on the using of wavelet transform.
Keywords
image fusion; Discrete Wavelet Transform; decomposition level; quality assessment
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