Modified particle swarm optimization and fuzzy regularization for pseudo de-convolution of spatially variant blurs

We propose a modified particle swarm optimization (MPSO) based method for Pseudo De-convolution of the ill-posed inverse problem namely, the space-variant image degradation (SVD). In this paper, SVD is simulated by the pseudo convolution of different sub-regions of the image with different known blu...

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Veröffentlicht in:	Multimedia tools and applications Jg. 75; H. 11; S. 6533 - 6548
Hauptverfasser:	Bilal, Mohsin, Mujtaba, Hasan, Jaffar, Muhammad Arfan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2016 Springer Nature B.V
Schlagworte:	Additives Algorithms Analysis Blurring Computation Computer Communication Networks Computer Science Data Structures and Information Theory Fuzzy logic Inverse problems Mathematical analysis Morphology Multimedia computer applications Multimedia Information Systems Neural networks Noise Optimization Regularization Regularization methods Space telescopes Special Purpose and Application-Based Systems Stars & galaxies Studies Swarm intelligence Wavelet transforms Fuzzy regularization Pseudo de-convolution Space variant degradation Particle swarm optimization Mathematical morphology Ill-posed inverse problem
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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