NDLI: Perceptually-Inspired and Edge-Directed Color Image Super-Resolution

Content Provider	IEEE Xplore Digital Library
Author	Yu-Wing Tai Wai-Shun Tong Chi-Keung Tang
Copyright Year	2006
Description	Author affiliation: Hong Kong University of Science and Technology (Yu-Wing Tai)
Abstract	Inspired by multi-scale tensor voting, a computational framework for perceptual grouping and segmentation, we propose an edge-directed technique for color image superresolution given a single low-resolution color image. Our multi-scale technique combines the advantages of edgedirected, reconstruction-based and learning-based methods, and is unique in two ways. First, we consider simultaneously all the three color channels in our multi-scale tensor voting framework to produce a multi-scale edge representation to guide the process of high-resolution color image reconstruction, which is subject to the back projection constraint. Fine details are inferred without noticeable blurry or ringing artifacts. Second, the inference of highresolution curves is achieved by multi-scale tensor voting, using the dense voting field as an edge-preserving smoothness prior which is derived geometrically without any timeconsuming learning procedure. Qualitative and quantitative results indicate that our method produces convincing results in complex test cases typically used by state-of-theart image super-resolution techniques.
Starting Page	1948
Ending Page	1955
File Size	805601
Page Count	8
File Format	PDF
ISBN	0769525970
ISSN	10636919
DOI	10.1109/CVPR.2006.221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color Image resolution Image reconstruction Tensile stress Image edge detection Electronic voting Computer vision Nearest neighbor searches Level set Graphics
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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