Image super-resolution using the specialized interior-point method

Guang-mei Ren; Xiao-feng Li; Ning Zhou

doi:10.1117/12.896283

8 July 2011 Image super-resolution using the specialized interior-point method

Guang-mei Ren, Xiao-feng Li, Ning Zhou

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80092Q (2011) https://doi.org/10.1117/12.896283
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

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.

Citation Download Citation

Guang-mei Ren, Xiao-feng Li, and Ning Zhou "Image super-resolution using the specialized interior-point method", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092Q (8 July 2011); https://doi.org/10.1117/12.896283

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