会议专题

Regional Varying Image Super-Resolution

In this paper a new method for single image Super-Resolution using some high resolution images is proposed. It is assumed that each high resolution image shows a region of the low resolution image, with some differences about illumination or view point. These differences may be due to taking photos in different times, camera motion or unequal zooming. In the proposed method each high resolution image is mapped to a resized version of the given low resolution image using homography matrix and RANSAC method, which are known in computer vision context. The mapped image is fused with the LR image for producing a synthesized image. The mentioned method is repeated for each of the HR images. The resulting image has higher resolution only on its regions corresponding to HR images. The experimental results show the superior performance of the proposed method against some other methods in term of final perceived quality.

Mahmood Amintoosi Mahmood Fathy Nasser Mozayani

Computer Engineering Department,Iran University of Science and Technology Narmak, Tehran, Iran Mathe Computer Engineering Department,Iran University of Science and Technology Narmak, Tehran, Iran

国际会议

The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

三亚

英文

913-917

2009-04-24(万方平台首次上网日期,不代表论文的发表时间)