The influence of chromatic impairments on the perceived image quality is studied in this paper.
Under the D65 standard illuminant a set of hyperspectral images were represented into the CIELAB color space and the corresponding chromatic coordinates were subdivided into clusters with the K-Means algorithm.
Each color cluster was shifted by a predefined chromatic impairment Delta E*ab with random direction in a*b* chromatic coordinates only.
Applying impairments of 3, 6, 9, 12 and 15 in a*b* coordinates to five hyperspectral images a set of modified images was generated.
Those images were shown to subjects that were asked to rank their quality based on their naturalness.
The Mean Opinion Score of the subjective evaluations was computed to quantify the sensitivity to the chromatic variations.
This paper is also complemented with an objective evaluation of the quality using several state-of-the-art metrics, and using the CIEDE2000 color difference among others.
Analyzing the correlations between subjective and objective quality evaluation
is concluded that the proposed quality estimators based on the CIEDE2000 provide the best representation.
Moreover, it was concluded that the established quality metrics only become reliable by averaging their results on each color component.