Proceedings Paper
Image super-resolution using the specialized interior-point method| Format | Member Price | Non-Member Price |
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Paper Abstract
Using sparse representation for image super-resolution (SR) has been a hot topic in image processing recently. Many of
them use the standard interior-point method to solve the l1-minimization problems which is essential in sparse
representation. In this paper, we present a specialized interior-point method to do the image SR by using Preconditioned
Conjugate Gradient (PCG) to compute the search step, and get the state-of-the-art results both qualitatively and
quantitatively. The results showed that our method can achieve higher PSNR than conventional ones.
Paper Details
Date Published: 8 July 2011
PDF: 4 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092Q (8 July 2011); doi: 10.1117/12.896283
Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)
PDF: 4 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092Q (8 July 2011); doi: 10.1117/12.896283
Show Author Affiliations
Guang-mei Ren, Univ. of Electronic Science and Technology of China (China)
Xiao-feng Li, Univ. of Electronic Science and Technology of China (China)
Xiao-feng Li, Univ. of Electronic Science and Technology of China (China)
Ning Zhou, Univ. of Electronic Science and Technology of China (China)
Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)
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