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Author Saleem, Aen_US
Author Beghdadi, Aen_US
Author Boashash, Ben_US
Available date 2012-06-18T08:42:50Zen_US
Publication Date 2011en_US
Publication Name 3rd European Workshop on Visual Information Processing (EUVIP)
Citation A. Saleem, A. Beghdadi, and B. Boashash, "Image quality metrics based multifocus image fusion," in Proc. 3rd European Workshop on Visual Information Processing (EUVIP), 2011, pp. 77-82en_US
Description This paper presents a novel block based multi-focus image fusion method to utilize blur image quality metrics to guide the multi-focus image fusion problem in the spatial domain. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated).en_US
Abstract We describe an innovative methodology for block based multifocus image fusion in the spatial domain. The main idea is to use blind or no reference blur metrics for image fusion applications. Two blur quality metrics based on edge content information and radon wigner ville based mean directional entropy, developed in the paper are used as activity measures. Fusion is performed by calculating blur based activity measure for each sub window in the source images and using maximum selection criterion according to the magnitude of these metrics. Furthermore, the defined metrics can be used for quantitative performance assessment of multifiocus fused images. The results of the proposed algorithm are compared to some existing image fusion methods.en_US
Language enen_US
Publisher IEEEen_US
Subject image fusionen_US
Subject image qualityen_US
Subject performance evaluationen_US
Subject Radon-Wigner-Ville based mean directional entropyen_US
Subject blur quality metricsen_US
Subject edge content informationen_US
Subject image quality metricsen_US
Subject maximum selection criterionen_US
Subject multifocus image fusionen_US
Subject quantitative performance assessmenten_US
Title Image quality metrics based multifocus image fusionen_US
Type Conference Paperen_US

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