Image sequence processing using spatiotemporal segmentation

被引：18

作者：

Wu, GK ^{[1
]}

Reed, TR ^{[1
]}

机构：

[1] Univ Calif Davis, Dept Elect & Comp Engn, Davis, CA 95616 USA

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 1999年 / 9卷 / 05期

关键词：

image edge analysis; image enhancement; image processing; image segmentation; image sequence analysis; Markov processes;

D O I：

10.1109/76.780367

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We investigate the improvements that can be obtained in several conventional video-processing algorithms through the incorporation of three-dimensional (3-D) (spatiotemporal) segmentation information. Four classes of image sequence professing techniques are considered: low-pass' filtering, high-pass filtering, high-frequency emphasis, and 3-D Sobel filtering, It is demonstrated that segmentation information can improve the performance of these techniques substantially so that this approach may be promising for other applications (e.g., deinterlacing and resolution conversion) as well.

引用

页码：798 / 807

页数：10

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