Journal of Data Processing Zoran Peric, Aleksandra Jovanovic, Milan Tancic 11 2 2021 https://doi.org/10.6025/jdp/2021/11/2/35-40 https://www.dline.info/jdp/fulltext/v11n2/jdpv11n2_1.pdf This work has addressed the optimization issue of quasi-logarithmic quantizer for memoryless Laplacian source. An iterative method for determination of compression factor μ and support limit xmax that gives the highest signal-to-quantization noise ratio SQNR is advocated. Further we have explained the optimization procedure. The experimental results support the suitability and success of this model.