Colour Image Quality Assessment Using Structural Similarity Index and Singular Value Decomposition

In the paper the analysis of the influence of the colour space on the results obtained during image quality assessment using the Structural Similarity index and the Singular Value Decomposition approach has been investigated. Obtained results have been compared to the ones achieved by widely used Normalised Colour Difference (NCD) metric. All the calculations have been performed using the LIVE Image Quality Assessment Database in order to compare the correlation of achieved results with the Differential Mean Opinion Score (DMOS) values obtained from the LIVE database. As a good solution for the further research, also with the use of some other image quality metrics, the application of the HSV colour space is proposed instead of commonly used YUV/YIQ luminance channel or the average of the RGB channels.