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POCS Super-Resolution Sequence Image Reconstruction Based on Image Registration Excluded Aliased Frequency Domain

  • Chong Fan
  • Jianya Gong
  • Jianjun Zhu
  • Lihua Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

This paper introduces the theory of super-resolution image reconstruction and degraded model in brief, and presents a new super-resolution image reconstruction algorithm .The algorithm bases on the new image registration excluded aliased frequency domain and the Projection Onto Convex Set (POCS) method. The algorithm can precisely estimate the image registration parameter by excluding aliased frequency domain of the low-resolution images and killing the center part of the magnitude spectrum. In order to compute the shifts and the rotation angle, we set up the polar coordinates in the center of the image. By computing the frequency function of the rotation angle by integrating over radial lines, the algorithm converts the two-dimension correlation to one-dimension correlation. And then, the POCS method is used to reconstruct high-resolution image from these aliased image sequences. As a result, we find that the reconstruction algorithm has the same precision of image registration as the spatial image registration and good effect of super-resolution image reconstruction.

Keywords

Image Registration Registration Algorithm Tukey Window Iterative Back Projection Alias Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chong Fan
    • 1
    • 2
  • Jianya Gong
    • 2
  • Jianjun Zhu
    • 1
  • Lihua Zhang
    • 2
    • 3
  1. 1.Department of Surveying and Land Information Engineering, Central South University, Changsha, Hunan, 410083China
  2. 2.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, 430079China
  3. 3.Dept. of Hydrography and Cartography, Dalian Naval Academy, 667, Jiefang Road, Dalian, Liaoning, 116018China

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