Fast Super-Resolution Image Reconstruction Based on Keren Registration and Interpolation

doi:10.3969/j.issn.1000-565X.2011.05.015

Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (5): 84-90.doi: 10.3969/j.issn.1000-565X.2011.05.015

• Computer Science & Technology • Previous Articles Next Articles

Fast Super-Resolution Image Reconstruction Based on Keren Registration and Interpolation

Li Zhan¹Han Guo-qiang¹Chen Xiang-ji²Liao Xiu-xiu¹

1. School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,Guangdong,China; 2. College of Informatics,South China Agricultural University,Guangzhou 510642,Guangdong,China

Received:2010-09-17 Revised:2011-01-04 Online:2011-05-25 Published:2011-04-01
Contact: 李展(1979-) ，女，博士生，讲师，主要从事超分辨率图像重建、图像恢复、天文图像处理研究． E-mail:lizhan@jnu.edu.cn
About author:李展(1979-) ，女，博士生，讲师，主要从事超分辨率图像重建、图像恢复、天文图像处理研究．
Supported by:
国家自然科学基金资助项目( 10778617，10973007，61070090) ; 广东省科技计划重大专项( 2010A080402005) ;广东省科技计划项目( 2008B080701052，2010B080701062) ; 广东省自然科学基金资助项目( 10151063201000002)

Abstract

Abstract:

In order to make it possible to apply the super-resolution reconstruction ( SRR) technology of images in real time and to improve the tolerance of registration errors,a fast and robust SRR algorithm based on Keren registration and interpolation is proposed. In this algorithm,registered low-resolution ( LR) images are mapped onto a high-resolution ( HR) grid according to their transform parameters,and the space pixels are filled iteratively via the template convolution to reconstruct a HR image. The proposed algorithm is finally compared with four existing SRR algorithms including the nonuniform interpolation,the projection onto convex sets,the robust iterative back projection and the structure-adaptive normalized convolution. The results show that the proposed algorithm is an effective,robust and fast SRR method for multi-frame images because it is insensitive to registration errors in a certain accuracy range with high reconstruction speed and quality.

Key words: image reconstruction, super resolution, Keren registration, interpolation, convolution

Li Zhan Han Guo-qiang Chen Xiang-ji Liao Xiu-xiu. Fast Super-Resolution Image Reconstruction Based on Keren Registration and Interpolation[J]. Journal of South China University of Technology (Natural Science Edition), 2011, 39(5): 84-90.

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Fast Super-Resolution Image Reconstruction Based on Keren Registration and Interpolation

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