Efficient intra prediction in H.264 based on intensity gradient approach

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

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations


This study presents an intensity gradient approach to intra prediction in H.264 encoding system, which enhances the performance and efficiency by means of edge orientation of the gradient filter. We propose a pre-processing stage in which eight-orientation feature are extracted from a macro block that selects four modes to be applied to the block among a set of predefined modes. It is shown that by choosing number of modes used in rate-distortion calculation lead to significant enhancement in the performance of intra prediction. The validity of this algorithm is confirmed experimentally. The simulation results indicate that the intensity gradient-based algorithm for intra prediction contributes to the bit-rate reduction compared to that of previous algorithms and saves around 53% of the total encoding time in H.264.

Original languageEnglish
Article number4253547
Pages (from-to)3952-3955
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
StatePublished - 2007
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: 27 May 200730 May 2007


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