Systems Engineering and Electronics

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Fast subpixel motion estimation algorithm based on HEVC

WANG Wei, XIAO Jin sheng, LIU Guo xiong, YI Ben shun, ZHANG Xin chen   

  1. (1. School of Electronic Information, Wuhan University, Wuhan 430072, China; 2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China; 3. College of Physical Science and Technology, Central China Normal University, Wuhan 430079, China)
  • Online:2014-12-08 Published:2010-01-03

Abstract: An improved fast subpixel search algorithm is proposed based on the characteristic of the matching error function with the single peak error surface. Firstly, a best halfpixel position is approximated by a five point error surface model based on the results of the integerpixel motion estimation, and then the search range and search template are determined for the halfpixel. Secondly, a search method of the quarterpixel is selected according to the halfpixel search results to complete the subpixel search. The experimental results show that the proposed algorithm can reduce nearly 60% of the calculation in the subpixel search with averagely a 0.043 dB decrease of peak signal to noise ratio, which improves the coding efficiency while guaranteeing the subjective and objective quality of the reconstructed image.

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