A Contourlet-based Interpolation Restoration Method for Super-resolution of SAR Image

摘要：

As is weH known that the quality of a digital image is affected by many factors,such as the distance between the acquisition system and the object,the acquisition environment conditions,and the resolution of the image sensors employed,and so on.So how to obtain high quality images has become a difficult task in practical applications.Image super-resolution reconstruction (SRR) is a signal processing approach which can produces a high-resolution (HR) image from observed multiple low-resolution (LR) images. The purpose of this study is to evaluate the potential application of SR techniques to synthetic aperture radar (SAR).In this paper,a LR image is used to extract high frequency information and reconstruct a high resolution image by an interpolation-restoration method based on contourlet transform to solve the problem of SRR.Experimental results show that the method has the superior performance in subjective visual quality.

关键词： Super-resolution Contourlet transform Adaptive interpolation Image reconstruction SAR

作者: Xiaohua Zhang Kun Cao Licheng Jiao

作者单位: Key Laboratory of Intelligent Perception and Image Understanding of theMinistry of Education of China,Institute of Intelligent Information Processing,Xidian University,Xian,710071,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 1068-1071

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）