Novel nonlinear predictive image coding algorithm

Tian-Hu Yu; Sanjit K. Mitra

doi:10.1117/12.266864

1 April 1997 Novel nonlinear predictive image coding algorithm

Tian-Hu Yu, Sanjit K. Mitra

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Journal of Electronic Imaging, Vol. 6, Issue 2, (April 1997). https://doi.org/10.1117/12.266864

Abstract

We present a novel nonlinear predictive image coding scheme in which a relative prediction error is first generated from the current pixel value and its predicted value. It is next mapped, quantized, coded and transmitted. Consequently, a weighting function is introduced into the coding algorithm such that the coding error is adapted by the pixel intensity and its relative prediction error. Meanwhile, the resulting quantization step size is smaller in lower contrast areas and larger in higher contrast areas so that the granular noise and the slope overload distortion can be efficiently reduced. Our simulation results show that on an average, with the proposed scheme, the bit rate is about 0.23 bits less than that obtained with differential pulse-code modulation (DPCM), while the peak SNR (PSNR) is about 2.9 dB higher than that with DPCM. On the other hand, more coding errors are allocated in less visible areas where the image intensity and/or contrast are higher.

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Tian-Hu Yu and Sanjit K. Mitra "Novel nonlinear predictive image coding algorithm," Journal of Electronic Imaging 6(2), (1 April 1997). https://doi.org/10.1117/12.266864

Published: 1 April 1997

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KEYWORDS

Image compression

Quantization

Distortion

Visualization

Signal to noise ratio

Error analysis

Modulation

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