No reference video quality estimation based on human visual system for 2.5/3G devices

Francesco Massidda; Daniele D. Giusto; Cristian Perra

doi:10.1117/12.594032

18 March 2005 No reference video quality estimation based on human visual system for 2.5/3G devices

Francesco Massidda, Daniele D. Giusto, Cristian Perra

Proceedings Volume 5666, Human Vision and Electronic Imaging X; (2005) https://doi.org/10.1117/12.594032
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

2.5/3G devices should achieve satisfactory QoS, overcoming mobile standards drawbacks. In-service/blind quality monitoring is essential in order to improve perceptual quality according to Human Visual System. Several techniques have been proposed for image/video quality assessment. A novel no-reference quality index which uses an effective HVS model is proposed. Luminance masking, Contrast Sensitivity Function and temporal masking are taken into account with fast in-service algorithms. The proposed index is able to assess blockiness distortion with a fast image-domain measure. Compression/post-processing blurring effects are measured with a standard approach. Moving artifacts distortion is evaluated taking into account standard deviation with respect to a natural image statistical model. Several distortion effects, in wireless noisy channels with low video-streaming/playback bit rates (e.g. edge busyness and image persistence) are evaluated. A multi-level pooling algorithm (block, temporal-window, frame, and sequence levels) is used. Validation tests have been developed in order to assess index performance and computational complexity. The final measure provides human-like threshold-effect and high correlation with subjective data. Low complexity algorithms can be derived for real-time, HVS-based, QoS management for low-power consumer devices. Different distortion effects (e.g. ringing and jerkiness) can be easily included.

Citation Download Citation

Francesco Massidda, Daniele D. Giusto, and Cristian Perra "No reference video quality estimation based on human visual system for 2.5/3G devices", Proc. SPIE 5666, Human Vision and Electronic Imaging X, (18 March 2005); https://doi.org/10.1117/12.594032

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