Color Image Super-resolution Reconstruction Based on IMED

摘要：

In this paper, a novel color image super-resolution reconstruction algorithm based on Image Euclidean Distance (IMED) and manifold learning is proposed. Firstly, the wavelet decomposition is used to extract features from training images. Then IMED is adopted for the computation of distances between pairs of small patches. Finally, the color high resolution image is reconstructed in YCbCr space in the framework of locally linear embedding. Experimental results demonstrate that the proposed method has better performance in comparison with the manifold learning method that is not combined with IMED.

关键词： color super-resolution Image Euclidean Distance (IMED) manifold learning

作者: Jianping Qiao

作者单位: School of Communication, Shandong Normal University, Jinan, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 98-101

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）