Abstract
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.
Highlights
IntroductionFor recent and emerging multimedia systems and applications, such as modern video broadcasting systems (including DVB/DVB-H, IPTV, webTV, HDTV,...) and telemedical applications, user requirements are going beyond requirements on connectivity, and users expect the services to meet their requirements on quality
For recent and emerging multimedia systems and applications, such as modern video broadcasting systems and telemedical applications, user requirements are going beyond requirements on connectivity, and users expect the services to meet their requirements on quality
We report our results in terms of scatter plots, where each symbol in the plot refers to a different image: Figures 8,9, 10, and 11 report scatter plots for the metrics above in the case of compression according to the JPEG2000 standard and subsequent transmission over a fast fading channel
Summary
For recent and emerging multimedia systems and applications, such as modern video broadcasting systems (including DVB/DVB-H, IPTV, webTV, HDTV,...) and telemedical applications, user requirements are going beyond requirements on connectivity, and users expect the services to meet their requirements on quality. We propose here a RR video quality metric well correlated with the perceived quality, based on the comparison of the edge information between the distorted image and the original one. In this article we propose a low complexity RR metric based on edge preservation which can be calculated in real time in practical image/video processing and transmission systems, performs comparably with the mostly used full reference metrics and requires a limited overhead for the transmission of side information. We report our results in terms of scatter plots, where each symbol in the plot refers to a different image: Figures 8,9, 10, and 11 report scatter plots for the metrics above in the case of compression according to the JPEG2000 standard and subsequent transmission over a fast fading channel.
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