A Hybrid Statistical IHS Image Fusion Method
Ali Reza
Afary
Babol Noshirvani University of Technology
author
Mohammad Javad
Valdan Zoej
K.N. Toosi University of Technology, Tehran, Iran
author
Hassan
Emami
University of Tabriz, Tabriz, Iran
author
text
article
2012
per
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.
Journal of Soft Computing and Information Technology
Babol Noshirvani University of Technology
2383-1006
1
v.
4
no.
2012
29
40
http://jscit.nit.ac.ir/article_80868_c24c0ef92e8ff96d58d1a58c2bebedba.pdf
A New Upper Bound for the Capacity of Free Space Optical Intensity Channel by Using a Simple Mathematical Inequality
Kobra
Akbari
Department of Electrical Engineering, Sadjad Institute for Higher Education
author
Ghosheh
Abed Hodtani
Department of Electrical Engineering, Ferdowsi University of Mashhad,
author
text
article
2012
per
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.
Journal of Soft Computing and Information Technology
Babol Noshirvani University of Technology
2383-1006
1
v.
4
no.
2012
49
54
http://jscit.nit.ac.ir/article_84484_c7809eb20ccad3fa5f2247f99c2e185f.pdf