NDLI: A novel quantization scheme for predictive coding

Content Provider	IEEE Xplore Digital Library
Author	Tian-Hu Yu
Copyright Year	1996
Description	Author affiliation: Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong (Tian-Hu Yu)
Abstract	In existing predictive image coding systems, a prediction error is quantized based on the criterion to minimize the mean square value of the coding error. With this quantization scheme, the reduction of the coding error is restricted by the number of the quantization levels and the amplitude distribution of the prediction error, and it is hard to locate more coding errors in less visible areas. In this paper, we present a new quantization scheme to improve the performance of the predictive image coding technique. In the proposed predictive coding system, instead of the prediction error, a contrast measure is generated from a predicted value and the original value of the current image pixel, which is then quantized based on an intuitive concept. Thus, a desirable weighting function is introduced in the coding algorithm such that the coding error is adapted by the pixel intensity and its contrast measure.
Starting Page	1207
Ending Page	1210
File Size	453902
Page Count	4
File Format	PDF
ISBN	0780329120
DOI	10.1109/ICSIGP.1996.566477
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization Predictive coding Image coding Pixel Statistics Pulse modulation Image resolution Autocorrelation Eyes Robustness
Content Type	Text
Resource Type	Article

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