A new constraint for the regularized enhancement of compressed video

Author

Segall, C. Andrew ; Katsaggelos, Aggelos K.

Author_Institution

Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA

Volume

3

fYear

2001

fDate

2001

Firstpage

1849

Abstract

A novel fidelity constraint to the image enhancement problem is presented. With this constraint, we exploit the motion vectors of a compressed video bit-stream. These vectors establish a correspondence between image pixels across a series of frames, and we guarantee that processing the decoded sequence does not violate this correspondence. We develop the constraint within the context of MPEG-2 and incorporate the constraint into a regularized enhancement algorithm. Simulations are then performed. Quantitative and qualitative results illustrate an improvement in visual quality

Keywords

constraint theory; data compression; image enhancement; image sequences; video coding; MPEG-2; compressed video bit-stream; decoded sequence; fidelity constraint; frames; image enhancement; image pixel correspondence; motion vectors; regularized enhancement algorithm; visual quality; Data mining; Decoding; Discrete cosine transforms; Filters; Image coding; Image enhancement; Pixel; Stochastic processes; Transform coding; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941303

Filename

941303