Paper
13 April 2018 Toward a perceptual image quality assessment of color quantized images
Author Affiliations +
Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 1069619 (2018) https://doi.org/10.1117/12.2309461
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
Color image quantization is an important operation in the field of color image processing. In this paper, we consider new perceptual image quality metrics for assessment of quantized images. These types of metrics, e.g. DSCSI, MDSIs, MDSIm and HPSI achieve the highest correlation coefficients with MOS during tests on the six publicly available image databases. Research was limited to images distorted by two types of compression: JPG and JPG2K. Statistical analysis of correlation coefficients based on the Friedman test and post-hoc procedures showed that the differences between the four new perceptual metrics are not statistically significant.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mariusz Frackiewicz and Henryk Palus "Toward a perceptual image quality assessment of color quantized images", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 1069619 (13 April 2018); https://doi.org/10.1117/12.2309461
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KEYWORDS
Image quality

Quantization

Databases

Image compression

Statistical analysis

Colorimetry

Image segmentation

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