Color image attribute and quality measurements

Chen Gao; Karen Panetta; Sos Agaian

doi:10.1117/12.2050197

28 May 2014 Color image attribute and quality measurements

Chen Gao, Karen Panetta, Sos Agaian

Proceedings Volume 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014; 91200T (2014) https://doi.org/10.1117/12.2050197
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Color image quality measures have been used for many computer vision tasks. In practical applications, the no-reference (NR) measures are desirable because reference images are not always accessible. However, only limited success has been achieved. Most existing NR quality assessments require that the types of image distortion is known a-priori. In this paper, three NR color image attributes: colorfulness, sharpness and contrast are quantified by new metrics. Using these metrics, a new Color Quality Measure (CQM), which is based on the linear combination of these three color image attributes, is presented. We evaluated the performance of several state-of-the-art no-reference measures for comparison purposes. Experimental results demonstrate the CQM correlates well with evaluations obtained from human observers and it operates in real time. The results also show that the presented CQM outperforms previous works with respect to ranking image quality among images containing the same or different contents. Finally, the performance of CQM is independent of distortion types, which is demonstrated in the experimental results.

Citation Download Citation

Chen Gao, Karen Panetta, and Sos Agaian "Color image attribute and quality measurements", Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 91200T (28 May 2014); https://doi.org/10.1117/12.2050197

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