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.
|Number of pages||10|
|Journal||IEEE Transactions on Circuits and Systems for Video Technology|
|Publication status||Published - 2005 May|
All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering