A Hybrid Statistical IHS Image Fusion Method

AuthorsAli Reza Afary- Mohammad Javad Valdan Zoej - Hassan Emami
JournalJournal of Computing and Information Technology
Presented byدانشگاه تبریز
Page number29-40
Serial number4
Volume number1
Paper TypeOriginal Research
Published At2013
Journal GradeScientific - research
Journal TypeElectronic
Journal CountryIran, Islamic Republic Of
Journal IndexQ2

Abstract

IHS method for image fusion is one of the conventional methods with a simple theory. Implementation of this
method is simple and effective from computational point of view. But this method causes the spectral content of
the fused image to get disturbed in comparison with the spectral criteria of the main multispectral image. In this
article a statistical image fusion method is combined with the conventional IHS method to improve its spectral
quality and overcome its deficiency. Some spectral indices were used for evaluation of this combined method and
compared with the conventional IHS and the used statistical fusion methods. This combined method improves the
spectral quality of the fused image and eliminates the existing shortcomings of the spectral disturbing in fused
image produced by IHS method.

Paper URL

tags: Image fusion IHS Statistical method Spectral quality