Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (6): 620-.

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Super-Resolution Image Reconstruction of POCS with Edge Preserving

LIU Hongxi1,2, SUN Kai1, SUN Hongbin1, SUN Junxi3   

  1. 1. School of Electrical and Information Engineering, Changchun Institute of Technology, Changchun 130012, China;
    2. School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China;
    3. School of Computer Science and Information Technology, Northeast Normal University, Changchun 130024, China
  • Received:2014-12-01 Online:2015-11-27 Published:2016-01-04

Abstract:

In order to solve the problem of edge blur in image reconstruction using the traditional POCS (Projection onto Convex Set) algorithm, A super-resolution image reconstruction of POCS with edge preserving is proposed. According to the neighborhood of interpolation pixel, the area of the pixel is the edge region or the non edge region. Reference frame is constructed by the improved bilinear interpolation algorithm, reducing the blur of the image edge after the reconstruction of the traditional algorithm. Experiment results demonstrate it can obtain high resolution reconstruction images and image edge isbetter.

Key words: super-resolution, projection onto convex set(POCS), BI-linear interpolation, edge detection

CLC Number: 

  • TP391