New image quality metric used for the assessment of color quantization algorithms

Mariusz Frackiewicz; Henryk Palus

doi:10.1117/12.2268531

17 March 2017 New image quality metric used for the assessment of color quantization algorithms

Mariusz Frackiewicz, Henryk Palus

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411G (2017) https://doi.org/10.1117/12.2268531
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

Color quantization is an important operation in the field of color image processing. In this paper, we consider a usefulness of the new DSCSI metric to assessment of quantized images. This metric is shown in the background of other useful image quality metrics to evaluate the color image differences and it has also been proven that DSCSI metric achieves the highest correlation coefficients with MOS. For further veriffcation DSCSI metric the combined methods that use to initialize the results of well-known splitting algorithms such as POP, MC, Wu etc. were tested. Experimental results of such combined methods indicate that the Wu+KM approach leading to the best quantized images in the sense of DSCSI metric.

Citation Download Citation

Mariusz Frackiewicz and Henryk Palus "New image quality metric used for the assessment of color quantization algorithms", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411G (17 March 2017); https://doi.org/10.1117/12.2268531

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