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Local Block Learning based Super resolution for license plate

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2011, 16(6), pp.71-78
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Hyunhak Shin1 1 정대성 1 Bonhwa Ku 1 Hanseok Ko 1

1고려대학교

Accredited

ABSTRACT

In this paper, we propose a learning based super resolution algorithm using local block for image enhancement of vehicle license plate. Local block is defined as the minimum measure of block size containing the associative information in the image. Proposed method essentially generates appropriate local block sets suitable for various imaging conditions. In particular, local block training set is first constructed as ordered pair between high resolution local block and low resolution local block. We then generate low resolution local block training set of various size and blur conditions for matching to all possible blur condition of vehicle license plates. Finally, we perform association and merging of information to reconstruct into enhanced form of image from training local block sets. Representative experiments demonstrate the effectiveness of the proposed algorithm.

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