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:: Volume 1, Issue 1 (12-2013) ::
jgit 2013, 1(1): 31-46 Back to browse issues page
Improvement of Gungor Image Fusion Technique Using a High Pass Filter
Alireza Afari *, Masoud Varshosaz
Babol University of Technology
Abstract:   (4372 Views)
Statistical methods are among image fusion techniques which use statistical measures, global or local, in order to decide how and where the fusion is performed. One of the most recent techniques of such giving good radiometric results is that developed by Gungor et al. which is based on the use of local parameters. Aiming to improve their results, this adds a high pass filter to their process. Tests carried out showed that the use of such a hybrid technique, in addition to improve the radiometric quality of the fused image, requires smaller processing windows. Also, it incorporates more of the spatial information from the panchromatic image without any loss in the radiometric quality of the fused image. Moreover, other experiments indicated that this approach shows great improvements compared to those obtained by HIS, Brovey and PCA while having equivalent results as those obtained by a Wavelet Transform.
Keywords: Image fusion, Statistical techniques, High pass filter
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Type of Study: Research |
Received: 2015/02/19 | Accepted: 2015/02/19 | Published: 2015/02/19
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Afari A, Varshosaz M. Improvement of Gungor Image Fusion Technique Using a High Pass Filter. jgit 2013; 1 (1) :31-46
URL: http://jgit.kntu.ac.ir/article-1-55-en.html

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Volume 1, Issue 1 (12-2013) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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