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Perceptually-adaptive image super-resolution using statistical methods

TitlePerceptually-adaptive image super-resolution using statistical methods
Publication TypeJournal Article
Year of Publication2007
AuthorsWong, A., and W. Bishop
JournalWSEAS Transactions on Signal Processing
Volume3
Pagination44 - 47
Keywordsimage super-resolution, Perceptually-adaptive, statistical estimation
Abstract

Multi-frame image super-resolution makes use of a set of low-resolution images to reconstruct one or more high-resolution images. This paper presents a novel super-resolution algorithm that uses perceptually important content characteristics such as edges, texture, and brightness to improve visual quality. The super- resolution algorithm introduces perceptually-adaptive constraint relaxation to optimize the image for the human vision system. Experimental results show that the super-resolution algorithm improves visual quality both quantitatively and qualitatively when compared with standard techniques.