Intensity gradient technique for efficient intra-prediction in H.264/AVC

An Chao Tsai, Anand Paul, Jia Ching Wang, Jhing Fa Wang

Research output: Contribution to journalArticlepeer-review

89 Scopus citations

Abstract

This study presents an intensity gradient approach for intra-prediction in H.264 encoding system, which enhances the performance and efficiency of previous fast algorithms. We propose a preprocessing stage in which eight orientation features are extracted from a macro block by the intensity gradient filters. The orientation features are utilized to select a subset of prediction modes to be involved in the rate-distortion calculation so that the encoding time can be reduced. The simulation results indicate that the intensity gradient based algorithm for intra-prediction contributes better tradeoff between rate-distorion performance and encoding complexity than the previous algorithms. Compared to H.264 reference software, the proposed algorithm introduces slight PSNR degradation and bit rate increase but saves around 76% of the total encoding time with all intra-frame coding.

Original languageEnglish
Article number4455571
Pages (from-to)694-698
Number of pages5
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume18
Issue number5
DOIs
StatePublished - May 2008

Keywords

  • H.264
  • Intensity gradient
  • Intra-prediction
  • Orientation
  • Rate distortion

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