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In this paper an algorithm for grayscale image compression based on usage of  three fixed uniform quantizers designed for discrete input samples is  presented. The algorithm is based on the alternating use of these three  quantizers. Number of quantization levels and quantizer range size increases  from the first to the third quantizer. Experimental results show that choice  of the quantizer range has an impact on system performance. While selecting a  range of the first two quantizers (with a lower number of quantization  levels) it is necessary to make a compromise between quality and bit rate  (larger quantizer range leads to lower average bit rate but the quality of  reconstructed image is also lower). It is shown that the range of the third  quantizer should be set up to cover as many as possible high number of input  samples making sure that the overload distortion does not become dominant.  [Projekat Ministarstva nauke Republike Srbije, br. III 044006]

Analysis of the impact of the quantizer range choice on compression and quality of the reconstructed image