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AuthorSaleem, A
AuthorBeghdadi, A
AuthorBoashash, B
Available date2012-06-18T08:42:50Z
Publication Date2011
Publication Name3rd European Workshop on Visual Information Processing (EUVIP)
CitationA. 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. 77-82
DescriptionThis 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).
AbstractWe 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.
Subjectimage fusion
Subjectimage quality
Subjectperformance evaluation
SubjectRadon-Wigner-Ville based mean directional entropy
Subjectblur quality metrics
Subjectedge content information
Subjectimage quality metrics
Subjectmaximum selection criterion
Subjectmultifocus image fusion
Subjectquantitative performance assessment
TitleImage quality metrics based multifocus image fusion
TypeConference Paper

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