Novel Adaptive De-interlacing Algorithm using Temporal Correlation

  • Ku, Su-Il (Division of Electronics and Computer Engineering Hanyang University) ;
  • Jung, Tae-Young (Division of Electronics and Computer Engineering Hanyang University) ;
  • Jeong, Je-Chang (Division of Electronics and Computer Engineering Hanyang University)
  • Published : 2009.01.12

Abstract

This paper proposes a novel adaptive algorithm for deinterlacing. In the proposed algorithm, the previously developed Enhanced ELA [6], Chen [9] and Li [10] algorithms were used as a basis. The fundamental mechanism was the selection and application of the appropriate algorithm according to the correlation with the previous and next field using temporal information. Extensive simulations were conducted for video sequences and showed good performance in terms of peak signal-to-ratio (PSNR) and subjective quality.

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