Adaptive Prediction for High-Quality Television Transmission Coding Based on the LMS Algorithm

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Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: J SMPTE
Volume: 98, No. 8, pp. 580–589
Abstract: Differential pulse-code modulation (DPCM) and hybrid transform coding are two popular high-performance methods of reducing the bit rate of component or composite digital television signals for point-to-point transmission. Both methods involve a predictor and subsequent coding of the resulting prediction error signal. This article describes a new prediction strategy, based on the least-mean-square (LMS) algorithm, which optimizes the accuracy of a multielement linear predictor by allowing it to adapt continuously to local picture-signal statistics. Performance benefits of using the algorithm in both coding methods are evaluated, based on results of computer simulations. The inherent problems of decoder instability and methods of overcoming them, along with possible hardware configurations of practical implementations, are described.
Publication Date: 1989-08-01
DOI: 10.5594/J02692
ISSN: Print: 0036-1682
Link: https://doi.org/10.5594/J02692
Author(s): Michael J. KneeThe British Broadcasting Corp., Surrey, England
Copyright: © 1989 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

1. Buley H. Stenger L. , “Inter/Intraframe Coding of Colour TV Signals for Transmission at the Third Level of the Digital Hierarchy,” Proc. IEEE , 73 : 4 , April 1985 . EXTERNAL
2. Chen W. H. Smith C. H. , “Adaptive Coding of Monochrome and Colour Images,” IEEE Trans. , COM-25 : 11 , Nov. 1977 . EXTERNAL
3. Widrow B. , “Adaptive Noise Cancelling: Principles and Applications,” Proc. IEEE , 63 : 12 , Dec. 1975 . EXTERNAL
4. Moore T. A. , “Applications of Linear Minimum-Mean-Square Optimisation Techniques in Video Coding,” Proc. IEE Conference on Image Processing and Its Applications, London, June 1986 . EXTERNAL
5. Knee M. J. Wells N. D. , “Comparison of DPCM Prediction Strategies for High-Quality Digital Television Bit-Rate Reduction,” BBC Research Dept. report in preparation. EXTERNAL
6. Alexander S. T. Rajala S. A. , “Image Compression Results Using the LMS Adaptive Algorithm,” IEE Trans. ASSP-33 : 3 , June 1985 . EXTERNAL
7. Stott J. H. , “Digital Video Bit-Rate Reduction: DPCM for Sub-Nyquist PAL,” BBC Research Dept. Report No. 1987 /16. EXTERNAL

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Michael J. Knee; Adaptive Prediction for High-Quality Television Transmission Coding Based on the LMS Algorithm, SMPTE Journal ( Volume: 98, Issue: 8, August 1989); SMPTE, 1989. Available at https://doi.org/10.5594/J02692

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Michael J. Knee; Adaptive Prediction for High-Quality Television Transmission Coding Based on the LMS Algorithm, SMPTE Journal ( Volume: 98, Issue: 8, August 1989); SMPTE, 1989. Available at https://doi.org/10.5594/J02692

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<span class="citation">Michael J. Knee; <cite>Adaptive Prediction for High-Quality Television Transmission Coding Based on the LMS Algorithm</cite>, SMPTE Journal ( Volume: 98, Issue: 8, August 1989); SMPTE, 1989. Available at <a href="https://doi.org/10.5594/J02692" target="_blank" rel="noopener">https://doi.org/10.5594/J02692</a></span>

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Michael J. Knee; <cite id="bib-10-5594-j02692">Adaptive Prediction for High-Quality Television Transmission Coding Based on the LMS Algorithm</cite>, SMPTE Journal ( Volume: 98, Issue: 8, August 1989); SMPTE, 1989
<span class="doi">10.5594/J02692</span>
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