NDLI: HDTV/CDTV compatible coding with recursive estimation

Content Provider	IEEE Xplore Digital Library
Author	Tihao Chiang Anastassiou, D.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. Eng., Columbia Univ., New York, NY, USA (Tihao Chiang; Anastassiou, D.)
Abstract	A two-layer coding approach with a spatial pyramid to achieve compatibility has been known to have several advantages. The first layer can have optimal performance. Rate control can be distributed between layers. However, the compression performance and the overall complexity at the high resolution layer suffer because of the requirement of compatibility. Therefore, good compatibility prediction is a crucial factor for a spatial scalability approach. In the paper, the authors focus on obtaining the best compatibility prediction, assuming that a spatially upsampled block and a motion compensated block are available. A spatio-temporal averaging technique has been shown to provide improvement. With a linear regression analysis, further improvement in prediction is shown. Better compatibility prediction can be obtained by assigning the spatio-temporal weights adaptively for individual pixels. The authors found that a pel-adaptive recursive estimation using Kalman filters gives a good compatibility prediction. The new difference signal has the statistical property of white Gaussian noise. The additional complexity is moderate and the bits for sending side information is insignificant. The resultant picture quality of the approach approximates the picture quality of the noncompatible single-layer approach.
Starting Page	248
Ending Page	252
File Size	444343
Page Count	5
File Format	PDF
ISBN	0818669527
DOI	10.1109/ICIP.1994.413313
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-11-13
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	HDTV Recursive estimation Scalability Degradation Decoding TV Spatial resolution Laboratories Image coding Distributed control
Content Type	Text
Resource Type	Article

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