DCT-based adaptive thresholding algorithm for binary motion estimation

Author

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

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

15

Issue

5

fYear

2005

fDate

5/1/2005 12:00:00 AM

Firstpage

694

Lastpage

703

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 BME 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.

Keywords

adaptive estimation; computational complexity; discrete cosine transforms; image resolution; image sequences; motion estimation; video signal processing; DCT-based adaptive thresholding algorithm; binary motion estimation; computational complexity; discrete-cosine transform; fast motion estimation; full search mechanism; motion sequence; video image; Computational complexity; Discrete cosine transforms; Discrete transforms; Hardware; IEC standards; ISO standards; Motion estimation; PSNR; Transform coding; Very large scale integration; DCT; binary motion estimation (BME); discrete cosine transform (DCT)-based adaptive thresholding (DAT); fast motion estimation; fast motion search;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/TCSVT.2005.846451

Filename

1425533