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A parallel processing architecture for FSS block-matching motion estimation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Motion Estimation (ME) is a key factor for achieving enhanced compression ratio. However, ME involves high computational complexity. The main goal is to reduce the execution time without reducing image quality. In this paper, a proposed high parallel processing architecture is presented for four-step search block-matching motion estimation. The proposed method develops an architecture which using 9 processing-elements (PE) and processes them in parallel. The architecture has been simulated and synthesized with VHDL and ASIC (CMOS 45nm). Synthesize results show that the proposed architecture achieves a high performance for real time motion estimation.

Original languageEnglish
Title of host publication2011 International Conference on Communications, Computing and Control Applications, CCCA 2011
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 International Conference on Communications, Computing and Control Applications, CCCA 2011 - Hammamet, Tunisia
Duration: 3 Mar 20115 Mar 2011

Publication series

Name2011 International Conference on Communications, Computing and Control Applications, CCCA 2011

Conference

Conference2011 International Conference on Communications, Computing and Control Applications, CCCA 2011
Country/TerritoryTunisia
CityHammamet
Period3/03/115/03/11

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