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计算机工程 ›› 2009, Vol. 35 ›› Issue (8): 239-240. doi: 10.3969/j.issn.1000-3428.2009.08.081

• 图形图像处理 • 上一篇    下一篇

基于低分辨率图像融合的超分辨率恢复方法

谢勤岚1,2,桑 农1   

  1. (1. 华中科技大学图像识别与人工智能研究所,武汉 430074;2. 中南民族大学电子信息工程学院,武汉 430074)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-04-20 发布日期:2009-04-20

Super-Resolution Restoration Method Based on Low-Resolution Image Fusion

XIE Qin-lan1,2, SANG Nong1   

  1. (1. Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074; 2. College of Electronic Information Engineering, South-Central University for Nationalities, Wuhan 430074)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-04-20 Published:2009-04-20

摘要: 提出一种基于多帧低分辨图像融合的超分辨率图像恢复算法。将多帧低分辨图像融合成一帧与高分辨图像分辨率一致的图像,并对其中一幅低分辨图像插值,形成迭代恢复算法的初始值,在此基础上以Tikhonov正则化方法求解原始高分辨图像。分析和实验结果表明,该算法具有良好的鲁棒性,并且计算速度较快。

关键词: 图像恢复, 超分辨率, 图像融合

Abstract: This paper offers a Super-Resolution(SR) image restoration algorithm based on Low-Resolution(LR) image fusion. The algorithm fuses a set of LR images to form an image with same resolution as the High-Resolution(HR) image, and interposes a LR image as the initialization guess for the iterative restoration algorithm. Both the above images are used to find the original HR image by the Tikhonov regularization algorithm. Analysis and simulation results confirm that the algorithm has good robustness and faster computation.

Key words: image restoration, Super-Resolution(SR), image fusion

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