Title: Adaptive image quantisation techniques

Authors: Shaimaa Ahmed El-said; Khalid F.A. Hussein; Mohamed M. Fouad

Addresses: Electronics and Communications Department, Faculty of Engineering, Zagazig University, P.O. Box 44519, Zagazig, Egypt ' Electronics Research Institute/Microwaves Department, Researches National Institute, P.O. Box 457, Dokki, Egypt ' Electronics and Communications Department, Faculty of Engineering, Zagazig University, P.O. Box 44519, Zagazig, Egypt

Abstract: This paper proposes three adaptive image quantisation techniques. These techniques calculate the quantisation levels using a method that is dependent on the images distribution pattern (hence the word 'adaptive') and then round off the pixels values to the nearest quantisation level. In this way, the number of different transmitted values is reduced. These schemes provide a wide range of compression ratios (CRs) with a very slight degradation of the signal to noise ratio (SNR). They are applied to both grey and colour images. The performances of these techniques are analysed and compared to other quantisation techniques to prove their quality. From the experimental results it is clear that they work well for all types of images and provide higher PSNR and perceptual quality than other techniques.

Keywords: non-uniform quantisation; grey scale image quantisation; coloured image quantisation; adaptive quantisation; performance analysis; complexity considerations; compression ratios; signal to noise ratio; SNR; grey images; colour images; image quality; image processing; perceived quality.

DOI: 10.1504/IJSISE.2014.065260

International Journal of Signal and Imaging Systems Engineering, 2014 Vol.7 No.3, pp.135 - 151

Accepted: 01 Jun 2012
Published online: 21 Oct 2014 *

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