Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941303
