MULTI-FRAME IMAGE SUPER-RESOLUTION BASE ON GRADIENT VECTOR FLOW

摘要：

Multi-frame super-resolution reconstruction aims to fuse several low resolution images into one image with high optical resolution.In this paper, a new regularization-based multi-frame image superresolution algorithm is presented.Utilizing the gradient directional information, the proposed algorithm uses the gradient vector flow to measure the gradient consistency between the high-resolution image and low-resolution images. Experiment results show that the proposed algorithm achieves better performance than other multi-frame image super-resolution methods.

关键词： Multi-frame Super Resolution Regularization Gradient Vector Flow

作者: ZUOFENG ZHOU JIANZHONG CAO HAO WANG

作者单位: Xian Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xian,710119,P. R. China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1122-1126

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）