Image Super-resolution using the Specialized Interior-Point Method

摘要：

Using sparse representation for image superresolution (SR) has been a hot topic in image processing recently. Many of them use the standard interior-point method to solve the 11-minimization problems which is essential in sparse representation. In this paper, we present a specialized interiorpoint 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.

关键词： sparse representation image super-resolution interior-point method Preconditioned Conjugate Gradient

作者: Ren Guang-mei Li Xiao-feng Zhou Ning

作者单位: School of Communication and Information Engineering,UESTC, Chengdu, Sichuan, 611731, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 533-536

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）