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 journalArticlepeer-review

9 Citations (Scopus)


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
Issue number5
Publication statusPublished - 2005 May

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering


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