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Super-Resolution Image Reconstruction Based on Improved POCS Algorithm

  • Juan Li
  • Jin Wu
  • Guang Hu
  • Shen Yang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 208)

Abstract

Projections onto convex sets (POCS) algorithm is a widely used super-resolution image reconstruction method. Aiming at the edge ringing effect of traditional POCS algorithm, this paper analyzes the basic reason causing the effect, and adopts an improved POCS algorithm to reduce it. In the improved algorithm, the Point Spread Function (PSF) centered at any edge pixel is weighted, making the far the position of the PSF coefficient is from the edge, the smaller the corresponding PSF coefficient is, and the coefficients remain unchanged along the edge direction. This paper uses wavelet transform modulus maxima method to detect image edges. Considering the edge ringing effect is not only relevant to the edge pixels, but also relevant to their neighboring pixels, we dilate the edge-detected image with a structuring element so as to obtain thicker image edges. Experimental results show that our method greatly reduces the edge ringing effect at little cost in terms of image sharpness, so we can get a better reconstruction image.

Keywords

Super-resolution image reconstruction Projections onto convex sets Wavelet transform modulus maxima Edge ringing 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.College of Information Science and TechnologyWuhan University of Science and Technology WuhanChina
  2. 2.Electrical Engineering DepartmentHuazhong University of Science and TechnologyWuhanChina

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