Sign Prediction for Wavelet Transform CoefficientsBased on Activity Measure

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2001, Vol. 24 ›› Issue (3): 70-73.

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Sign Prediction for Wavelet Transform CoefficientsBased on Activity Measure

LIN Sheng, FENG Jing-feng, QUAN Zi-yi

Telecommunication Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2000-10-30 Online:2001-10-10
Supported by:

Abstract

Abstract: The sign coding of the image compression algorithm based on the wavelet transform is analyzed.To solve the problem that it is hard to compress the equally distributed wavelet coefficient signs,a sign prediction algorithm is proposed using the activity measure of the image.The simulation indicates that the prediction error has the property of unequally distributed probability, which results to more efficient sign compression.

Key words: image compression, wavelet transform, sign coding, prediction

CLC Number:

TN919.8

LIN Sheng, FENG Jing-feng, QUAN Zi-yi. Sign Prediction for Wavelet Transform CoefficientsBased on Activity Measure[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2001, 24(3): 70-73.

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Sign Prediction for Wavelet Transform CoefficientsBased on Activity Measure

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