Digital Signal Processing Reference
In-Depth Information
3D video. Objective 3D quality assessment is still far from being mature.
Objective video quality assessment (for both 3D and 2D) is generally classified
as follows:
Full-reference objective video quality assessment (FR);
No-reference objective video quality assessment (NR);
Reduced-reference objective video quality assessment (RR).
In FR video quality assessment it is assumed that the quality assessment
technique has full access to both processed and original versions of the video
sequence. The typical functions of a FR assessment model are described in
Figure 6.10(a). In some cases, such as video quality evaluation on the receiver
side, FR methods may not be applicable as the reference video sequence is
not available. On the other hand, NR video quality assessment uses only the
information from the processed video to produce an objective quality score.
These models do not have access to the reference video. However, they use
prior information about the distortion of the video sequence. For instance,
Reference video
Quality rating
FR objective quality
assessment model
Proces sed video
(a)
Blockiness
Distortions
measurement
(blockiness,
blur, etc…)
Blur
Distortion
pooling
Quality rating
Pro cessed video
Etc.
NR objective quality assessment model
(b)
Referenc e video
Feature
extraction
Quality rating
RR objective quality
assessment model
Processed video
(c)
Figure 6.10 Objective quality assessment techniques. (a) FR objective quality
assessment model (b) NR objective quality assessment model (c) RR objective
quality assessment model
 
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