Telecommunications and Radio Engineering

ISSN for PRINT: 0040-2508

For Online Access

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2008, Volume67

Issue 5

93 pages

DOI: 10.1615/TelecomRadEng.v67.i5

Issue price - $271.00

A. V. Bazhyna
Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, FIN- 33101, Tampere, Finland

N. N. Ponomarenko
Department of Transmitters, Receivers and Signal Processing, National Aerospace University, Chkalova Str. 17, 61070 Kharkiv, Ukraine

Karen O. Egiazarian
Tampere University of Technology, Signal Processing Laboratory, P. O. Box 553, FIN-33101, Tampere, Finland

V. V. Lukin
Department of Transmitters, Receivers and Signal Processing, National Aerospace University, Chkalova Str. 17, 61070 Kharkiv, Ukraine

This paper presents an efficient DCT based method for image compression. The method uses a sophisticated bit-plane coding of quantized DCT coefficients and provides both spatial and quality/speed scalability. A fast post-filtering aimed for deblocking and facilitation of Region of Interest (ROI) coding is also described. Utilizing the coding of signs of DCT coefficients further improves coding efficiency of the proposed coder. The coder can be used for lossy image compression as well as to further lossless compression of already compressed JPEG images whereas its performance is close to that one of JPEG2000.

DOI: 10.1615/TelecomRadEng.v67.i5.20 Download article, 391-412 pages

Article price - $65.00

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