A reduced-reference perceptual image and video quality metric based on edge preservation
1 SEC Faculty, School of Computing and Information Systems, Kingston University London, Penrhyn road, Kingston upon Thames KT1 2EE, UK
2 DIEI, University of Perugia, Perugia, Italy
EURASIP Journal on Advances in Signal Processing 2012, 2012:66 doi:10.1186/1687-6180-2012-66Published: 16 March 2012
In image and video compression and transmission, it is important to rely on an objective image/video quality metric which accurately represents the subjective quality of processed images and video sequences. In some scenarios, it is also important to evaluate the quality of the received video sequence with minimal reference to the transmitted one. For instance, for quality improvement of video transmission through closed-loop optimisation, the video quality measure can be evaluated at the receiver and provided as feedback information to the system controller. The original image/video sequence--prior to compression and transmission--is not usually available at the receiver side, and it is important to rely at the receiver side on an objective video quality metric that does not need reference or needs minimal reference to the original video sequence. The observation that the human eye is very sensitive to edge and contour information of an image underpins the proposal of our reduced reference (RR) quality metric, which compares edge information between the distorted and the original image. Results highlight that the metric correlates well with subjective observations, also in comparison with commonly used full-reference metrics and with a state-of-the-art RR metric.