DESIGN AND IMPLEMENTATION OF NON-UNIFORM QUANTIZERS FOR DISCRETE INPUT SAMPLES

Nikola Simic, Zoran Peric, Milan Savic

DOI Number
10.2298/FUEE1703417S
First page
417
Last page
427

Abstract


This paper describes an algorithm for grayscale image compression based on non-uniform quantizers designed for discrete input samples. Non-uniform quantization is performed in two steps for unit variance, whereas design is done by introducing a discrete variance. The best theoretical and experimental results are obtained for those discrete values of variance which provide the operating range of quantizer located in the vicinity of maximal signal value that can appear on the entrance. The experiment is performed by applying proposed quantizers for compression of standard test grayscale images as a classic example of discrete input source. The proposed fixed non-uniform quantizers, designed for discrete input samples, provide up to 4.93 [dB] higher PSQNR compared to the fixed piecewise uniform quantizers designed for discrete input samples.


Keywords

Discrete input samples, grayscale image processing, non-uniform quantization, optimal input range

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