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Titolo:
IMAGE AND VIDEO COMPRESSION ALGORITHMS BASED ON RECOVERY TECHNIQUES USING MEAN-FIELD ANNEALING
Autore:
OZCELIK T; BRAILEAN JC; KATSAGGELOS AK;
Indirizzi:
FUTURE MEDIA TECHNOL INC LOS ANGELES CA 90067 NORTHWESTERN UNIV,DEPT ELECT ENGN & COMP SCI EVANSTON IL 60208 MOTOROLA INC,DIGITAL TECHNOL RES LAB SCHAUMBURG IL 60196
Titolo Testata:
Proceedings of the IEEE
fascicolo: 2, volume: 83, anno: 1995,
pagine: 304 - 316
SICI:
0018-9219(1995)83:2<304:IAVCAB>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
CODED IMAGES; RESTORATION;
Keywords:
IMAGE AND VIDEO COMPRESSION; IMAGE AND VIDEO CODING; MEAN FIELD ANNEALING;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
29
Recensione:
Indirizzi per estratti:
Citazione:
T. Ozcelik et al., "IMAGE AND VIDEO COMPRESSION ALGORITHMS BASED ON RECOVERY TECHNIQUES USING MEAN-FIELD ANNEALING", Proceedings of the IEEE, 83(2), 1995, pp. 304-316

Abstract

Image and video coding algorithms have found a number of applicationsranging from video telephony on the Public Switched Telephone Networks (PSTN) to HDTV. However, as the bit rate is lowered, most of the existing techniques, as well as current standards, such as JPEG, H. 261, and MPEG-1 produce highly visible degradations in the reconstructed images primarily due to the information loss caused by the quantization process. In this paper, we propose an iterative technique to reduce the unwanted degradations, such as blocking and mosquito artifacts whilekeeping the necessary detail present in the original image. The proposed technique makes use of a priori information about the original image through a nonstationary Gauss-Markov model. Utilizing this model, amaximum a posteriori (MAP) estimate is obtained iteratively using mean field annealing. The fidelity to the data is preserved by projectingthe image onto a constraint set defined by the quantizer at each iteration. The proposed solution represents an implementation of a paradigm we advocate, according to which the decoder is not simply undoing the operations performed by the encoder, but instead it solves an estimation problem based on the available bitstream and any prior knowledge about the source image. The performance of the proposed algorithm was tested on a JPEG, as well as on an H.261-type video codec. It is shownto be effective in removing the coding artifacts present in low bit rate compression.

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Documento generato il 02/07/20 alle ore 22:22:09