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A Hybrid Statistical IHS Image Fusion Method
A Hybrid Statistical IHS Image Fusion Method
http://jscit.nit.ac.ir/article_80868.html
0
IHS method for image fusion is one of the conventional methods with a simple theory. Implementation of thismethod is simple and effective from computational point of view. But this method causes the spectral content ofthe fused image to get disturbed in comparison with the spectral criteria of the main multispectral image. In thisarticle a statistical image fusion method is combined with the conventional IHS method to improve its spectralquality and overcome its deficiency. Some spectral indices were used for evaluation of this combined method andcompared with the conventional IHS and the used statistical fusion methods. This combined method improves thespectral quality of the fused image and eliminates the existing shortcomings of the spectral disturbing in fusedimage produced by IHS method.
1
IHS method for image fusion is one of the conventional methods with a simple theory. Implementation of thismethod is simple and effective from computational point of view. But this method causes the spectral content ofthe fused image to get disturbed in comparison with the spectral criteria of the main multispectral image. In thisarticle a statistical image fusion method is combined with the conventional IHS method to improve its spectralquality and overcome its deficiency. Some spectral indices were used for evaluation of this combined method andcompared with the conventional IHS and the used statistical fusion methods. This combined method improves thespectral quality of the fused image and eliminates the existing shortcomings of the spectral disturbing in fusedimage produced by IHS method.
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Ali Reza
Afary
Ali Reza
Afary
Babol Noshirvani University of Technology
ایران
afary@nit.ac.ir
Mohammad Javad
Valdan Zoej
Mohammad Javad
Valdan Zoej
K.N. Toosi University of Technology, Tehran, Iran
ایران
valadanzouj@kntu.ac.ir
Hassan
Emami
Hassan
Emami
University of Tabriz, Tabriz, Iran
ایران
h_emami@tabrizu.ac.ir
Image fusion
IHS
Statistical method
Spectral quality
0
A New Upper Bound for the Capacity of Free Space Optical Intensity Channel by Using a Simple Mathematical Inequality
A New Upper Bound for the Capacity of Free Space Optical Intensity Channel by Using a Simple Mathematical Inequality
http://jscit.nit.ac.ir/article_84484.html
0
Farid-Hranilovic (FH), in an interesting way, found a capacity-achieving discrete input distribution for free space optical (FSO) channel by numerically maximizing the input-parameter (β) dependent mutual information between channel input and the scaled output. In this paper, first, by using a simple mathematical inequality, we find an upper bound for FH input-scaled output mutual information and then maximize the obtained upper bound to reach to a third order equation for the optimum β as β*. Our equation (i) determines β* exactly in contrary to the FH work where β* is found numerically through an exhaustive search and also, (ii) is consistent with the estimated equation for β* in the FH work. Our upper bound is shown to be tighter than the proposed upper bound in the FH work that is found through sphere packing argument at very high SNRs. Using numerical illustrations at different SNRs, we compare our β*s, mass point spacing as *, and upper bound with previous works.
1
Farid-Hranilovic (FH), in an interesting way, found a capacity-achieving discrete input distribution for free space optical (FSO) channel by numerically maximizing the input-parameter (β) dependent mutual information between channel input and the scaled output. In this paper, first, by using a simple mathematical inequality, we find an upper bound for FH input-scaled output mutual information and then maximize the obtained upper bound to reach to a third order equation for the optimum β as β*. Our equation (i) determines β* exactly in contrary to the FH work where β* is found numerically through an exhaustive search and also, (ii) is consistent with the estimated equation for β* in the FH work. Our upper bound is shown to be tighter than the proposed upper bound in the FH work that is found through sphere packing argument at very high SNRs. Using numerical illustrations at different SNRs, we compare our β*s, mass point spacing as *, and upper bound with previous works.
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کبری
اکبری
Kobra
Akbari
Department of Electrical Engineering, Sadjad Institute for Higher Education
ایران
kobra_akbari20@yahoo.com
قوشه
عابدهدتنی
Ghosheh
Abed Hodtani
Department of Electrical Engineering, Ferdowsi University of Mashhad,
ایران
hodtani@um.ac.ir
FSO channels
equally spaced mass points
maximization of the mutual information
[[1] A. Farid and S. Hranilovic, “Capacity bounds for wireless optical intensity channels with gaussian noise,ˮ Information Theory, IEEE Transactions on, vol. 56, no. 12, pp. 6066-6077, December 2010.##[2] A. Farid and S. Hranilovic, “Upper and lower bounds on the capacity of wireless optical intensity channels,ˮ Nice, ISIT2007, France, pp. 2416-2420, June 2007.##[3] J. G. Smith, “The information capacity of amplitude and variance constrained scalar gaussian channels,ˮ Information and Control, vol. 18, no. 3, pp. 203-219, 1971.##[4] S. Shamai, “Capacity of a pulse amplitude modulated direct detection photon channel,ˮ in Proc. IEE Communication, Speech, and Vision, vol. 137, pp. 424-430, December 1990.##[5] A. Farid and S. Hranilovic, “Capacity of optical intensity channels with peak and average power constraints,ˮ IEEE ICC, IEEE Communications Society Subject Matter Experts.##[6] A. Farid and S. Hranilovic, “Channel capacity and non-uniform signaling for free-space optical intensity channels,ˮ Selected Areas in Communications, IEEE Journal on,vol. 27, no. 9, pp. 1553-1563, December 2009.##[7] A. Garcia-Zambrana, C. Castillo-Vazquez and B. Castillo-Vazquez, “On the capacity of FSO links gamma-gamma atmospheric turbulence channels using OOK signaling,ˮ Wireless Communications and Networking, EURASIP Journal on, vol. 2010, pp. 1-9, March 2010.##[8] A. Rezazadeh and G. A. Hodtani, “A general upper bound for the capacity of free space optical channel and the corresponding optimal input distribution,ˮ Australian Communications Theory, Workshop, pp. 34-39, 2012.##[9] S. M. Moser, “Duality-based bounds on channel capacity,ˮ Ph.D. dissertation, Swiss Fedral Institute of Technology, 2005.##[10] A. Lapidoth, S. M. Moser, and M. A. Wigger, “On the capacity of free space optical intensity channels,ˮ in Proc. Information Theory, IEEE Int. Symp., pp. 2419-2423, 2008.##]