Digital Signal Processing Reference
In-Depth Information
6
Quality Assessment
It is currently difficult to evaluate the perceptual quality of 3D applications,
services and the suitability of 3D video coding algorithms for compression
and transmission, without resorting to full subjective tests. These subjective
evaluation test campaigns take a long time and a great deal of effort to
measure the quality using human observers. This has some negative effects
on the development and the advance of 3D video broadcasting technologies
and new 3D services. The effect of different artefacts introduced by image
capture, processing, delivery and display methods on the perceived quality
of video are diverse in nature. Video quality models define the relationship
between the physical parameter (e.g. coding and delivery method) of the
system and the perceived video quality. The objective quality metrics/models
that incorporate perceptual attributes for conventional 2D video are well
exploited in the literature [1, 2].
This chapter discusses metrics for 2D video quality, and then examines
the issues that affect 3D video quality. Methods of measuring 3D video
quality using panels of viewers are described in Section 6.3. Finally, details
are given of a method for evaluating 3D video quality that correlates well
with the HVS. This chapter is based on the work of Dr Lasith Yasakethu,
who developed the described quality model during his PhD studies at the
University of Surrey.
6.1 2D Video Quality Metrics
Decades of effort on the development of techniques to accurately model
how the HVS perceives impairments in video using objective properties
have resulted in a large number of 2D image/video quality measurement
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