Statistical Modeling of Inter-Frame Prediction Error and Its Adaptive Transform

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Most video coding standards use the discrete cosine transform, known to be near optimal for original images, to transform prediction errors. Since the statistical characteristics of prediction errors are quite different from those of original images, a more suitable transform for prediction errors has to be devised. In this letter, we introduce a novel statistical model for inter-frame prediction error and propose an adaptive transform based on the model. In addition, in order to reduce the computation time, a fast and efficient algorithm is developed. Experiments on well-known image sequences confirm that our proposed transform can improve the performance of transform coding significantly.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2011-04
Language
English
Article Type
Article
Keywords

DIFFERENCE

Citation

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.21, no.4, pp.519 - 523

ISSN
1051-8215
URI
http://hdl.handle.net/10203/100903
Appears in Collection
EE-Journal Papers(저널논문)
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