2 research outputs found
Regional Attention to Structural Degradations for Perceptual Image Quality Metric Design
In this paper, regional attention to structural degradations in
images is analyzed to improve perceptual quality prediction
performance of objective image quality metrics. Subjective
experiments were conducted to identify regions-of-interest for a set
of natural images. A region-selective metric design is then applied
to four objective image quality metrics which were trained and
validated with respect to quality prediction accuracy and
generalization to unknown images. For this purpose, data is used
from subjective quality experiments conducted at two independent
laboratories. It is shown that the region-selective design is highly
beneficial for the considered objective image quality metrics, in
particular, prediction accuracy can be significantly increased