Paper
20 November 2001 New adaptive prediction scheme based on local area predictor evaluation (LAPE)
Slaven Marusic, Guang Deng
Author Affiliations +
Abstract
An efficient and robust approach to adaptive prediction is presented which uses a local causal area to evaluate a number of individual fixed sub-predictors. Various schemes are utilized to exploit the resulting information, including a rank-order based approach, a two stage adaptive selection technique utilizing median filtering, a technique for adaptive combination and a technique incorporating adaptive selection followed by adaptive combination. The respective selection and combination schemes display superior results for particular image types. When the proposed predictors are coupled with prediction error feedback and adaptive arithmetic coding, they produce results superior to CALIC. To produce a more robust predictor an additional stage based on one of the proposed selection schemes is proposed. The result is an adaptive prediction scheme which effectively utilizes the principles of predictor combination and selection. Different forms of the latter stage predictor are explored, which are shown to improve overall predictor performance. A selection based approach is also demonstrated to be more robust than combination based schemes.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Slaven Marusic and Guang Deng "New adaptive prediction scheme based on local area predictor evaluation (LAPE)", Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); https://doi.org/10.1117/12.448666
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KEYWORDS
Image compression

Medical imaging

Gold

Electronics engineering

Lanthanum

Visualization

Chromium

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