Designing Quality Metrics

In most of the existing image quality assessment approaches, the main objective is to develop measures that are consistent with the subjective evaluation. Therefore, the performance of a given image quality metric is evaluated against the MOS determined from a series of subjective tests performed on a database. A plethora of image quality metrics has been developed. The research aims at finding invariance laws with which one may test image quality metrics. The oral presentation [1] shows a new viewpoint. Paper [2] focuses on one specific property, namely the sensitivity to background luminance. It shows on synthetic images that Weber’s law is not consistent with human visual system (HVS), a photometric invariance principle is proposed and an algorithm is derived to test whether a given quality metric complies with Weber’s law or with that specific property of HVS (qualityMetric2Alpha.m, psnr.m, ssim.m, ssim_index.m,  vdp.m).

 

List of  Publications

[1]  G. Dauphin, A. Beghdadi, A. Bouzerdoum, HVS-Inspired Image Processing: An Overview, In Proceeding of the 1st International Workshop on Visual Signal Processing and its Applications, Université Paris 13, 12-13 November 2008. VISPA'08.

      Dauphin08_slides.pdf

 [2] G. Dauphin and P. Viaris de Lesegno, Assessment of Quality Metrics with Reference Based on Uniform Colour Spaces. In Proceeding of 2nd European Workshop on Visual Information Processing. 6 pages, Paris, France, July 2010. EUVIP'10.

      Dauphin10_paper.pdf Dauphin10_lecture.mp3

      A. Beghdadi, G. Dauphin, A. Bouzerdoum, Image Analysis Using Local Band Directional Contrast. In Proceeding of the International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, October 20-22, 2004, invited. ISIMP'04.

      G. Dauphin, A. Beghdadi and P. Viaris de Lesegno, A Local Directional Bandlimited Contrast, In Proceeding of International Symposium on Signal Processing and its Applications, 4 pages, Paris, France, 2003, ISSPA'03.

      P. Bonnin, O. Stasse, V. Hugel, P. Blazevic, G. Dauphin, Towards a Method to Compare and to Evaluate Fast Pixel Gathering Mechanisms For Real Time Robotic Vision Systems. In Proceeding of International Symposium on Signal Processing and its Applications, 4 pages, Paris, France, 2003, ISSPA'03.