3-D segmentation-based video processing

Author

Wu, Gene K. ; Reed, Todd R.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA

Volume

1

fYear

1996

fDate

3-6 Nov. 1996

Firstpage

120

Abstract

In this paper we investigate the improvements that can be obtained in several conventional video processing algorithms through the incorporation of 3-D (spatiotemporal) segmentation information. Segmentation-aided lowpass filtering, highpass filtering, high frequency emphasis and edge enhancement are described. 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.

Keywords

edge detection; high-pass filters; image enhancement; image segmentation; low-pass filters; video signal processing; 3-D segmentation-based video processing; algorithms; deinterlacing; edge enhancement; high frequency emphasis; highpass filtering; lowpass filtering; performance; resolution conversion; spatiotemporal segmentation; Additive noise; Costs; Filtering; Frequency; Gaussian noise; Image resolution; Image segmentation; Image sequences; Merging; Spatiotemporal phenomena;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7646-9

Type

conf

DOI

10.1109/ACSSC.1996.600841

Filename

600841