.png){kind=icon}
返回
.png){kind=icon}
.png){kind=icon}
摘要
En 中文
We propose novel discrete cosine transform (DCT) pseudophase techniques to estimate shift/delay between two one-dimensional (1-D) signals directly from their DCT coefficients by computing the pseudophase shift hidden in DCT and then employing the sinusoidal orthogonal principles, applicable to signal delay estimation remote sensing. Under the two-dimensional (2-D) translational motion model, we further extend the pseudophase techniques to the DCT-based motion estimation (DXT-ME) algorithm for 2-D signals/images. The DXT-ME algorithm has certain advantages over the commonly used full search block-matching approach (BKM-ME) for application to video coding despite certain limitations. In addition to its robustness in a noisy environment and low computational complexity, O(M-2) for an M x M search range in comparison to the O(N-2 . M-2) complexity of BKM-ME for an N x N block, its ability to estimate motion completely in DCT domain makes possible the fully DCT-based motion-compensated video coder structure, which has only one major component in the feedback loop instead of three as in the conventional hybrid video coder design, and thus results in a higher system throughput. Furthermore, combination of the DCT and motion estimation units can provide space for further optimization of the overall coder. In addition, the DXT-ME algorithm has solely highly parallel local operations and this property makes feasible parallel implementation suitable for very large scale integration (VLSI) design. Simulation on a number of video sequences is presented with comparison to BKM-ME and other fast block search algorithms for video coding applications even though DXT-ME is completely different from any block search algorithms.
Keyword:
discrete cosine transform
motion estimation
shift measurement
time delay estimation
video coding
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
机构
暂无机构信息
引用论文
Tetrabutyl ammonium bromide-mediated benzylation of phenols in water under mild condition.png)
Tetrahedron.png)
TetrahedronIF0
PREAI
.png){kind=icon}
分享.png){kind=icon}
收藏
查看更多内容