Particle swarm optimization based support vector regression for blind image restoration

DOI10.1007/s11390-012-1279-zzbMath1279.68324OpenAlexW2002289505WikidataQ113106369 ScholiaQ113106369MaRDI QIDQ389029

Pankaj Kumar Sa, Banshidhar Majhi, Ratnakar Dash

Publication date: 17 January 2014

Published in: Journal of Computer Science and Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11390-012-1279-z

zbMATH Keywords

image restorationparticle swarm optimizationsupport vector regression

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Uses Software

• Regularization tools
• UTV

Cites Work

• Regularized iterative image restoration with ringing reduction
• Rank-Deficient and Discrete Ill-Posed Problems
• A modification to particle swarm optimization algorithm
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