DCT-based adaptive thresholding algorithm for binary motion estimation

Chung Bin Wu, Chin Yuan Yao, Bin-Da Liu, Jar-Ferr Yang

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This paper presents a discrete-cosine transform (DCT)-based adaptive thresholding algorithm to achieve an effective binarization of video image for binary motion estimation (BME). The B ME through the full search mechanism requires extremely low hardware complexity. Experimental results show that the proposed adaptive BME attains performance close to the 8-bit resolution ME for low motion sequences with full search strategy. Compared to the well-known single-layer BME, the proposed adaptive algorithm shows better peak signal-to-noise ratio performance and more robustness to complex images. Moreover, the proposed algorithm has a lower computational complexity that is suitable for VLSI implementation with a smaller hardware overhead.

Original languageEnglish
Pages (from-to)694-703
Number of pages10
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume15
Issue number5
DOIs
Publication statusPublished - 2005 May 1

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Discrete cosine transforms
Motion estimation
Adaptive algorithms
Hardware
Computational complexity
Signal to noise ratio

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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DCT-based adaptive thresholding algorithm for binary motion estimation. / Wu, Chung Bin; Yao, Chin Yuan; Liu, Bin-Da; Yang, Jar-Ferr.

In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 15, No. 5, 01.05.2005, p. 694-703.

Research output: Contribution to journalArticle

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