Suvojit Acharjee; Sheli Sinha Chaudhuri

Fuzzy Logic Based Three Step Search Algorithm for Motion Vector Estimation

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Author(s)

Suvojit Acharjee ^1,* Sheli Sinha Chaudhuri ¹

1. Department of Electronics and Telecommunication Engineering, Jadavpur University Jadavpur, Kolkata, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.02.06

Received: 8 Dec. 2011 / Revised: 10 Jan. 2012 / Accepted: 7 Feb. 2012 / Published: 8 Mar. 2012

Index Terms

Three Step Search, Fuzzy logic based Three Step Search, Motion vector Estimation with Fuzzy, Fuzzy Block Matching Algorithm

Abstract

Motion compensation process is the most computationally expensive operation in the entire video compression process. Fast motion estimation technique plays a very important role in video compression standard. In Block Matching Algorithm Full Search Algorithm produces the best result for motion vector estimation. But Full Search algorithm is a time consuming and computationally expensive process. The Challenge is to reduce the computational complexity of Full Search algorithm without losing too much quality at the output.
In this paper we propose to implement the fuzzy logic based Three Step Search algorithm. This Algorithm performs better than the Three Step Search(TSS), New Three Step Search(NTSS), Four Step Search(FSS) algorithm.

Cite This Paper

Suvojit Acharjee,Sheli Sinha Chaudhuri,"Fuzzy Logic Based Three Step Search Algorithm for Motion Vector Estimation", IJIGSP, vol.4, no.2, pp.37-43, 2012. DOI: 10.5815/ijigsp.2012.02.06

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International Journal of Image, Graphics and Signal Processing (IJIGSP)