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Perceptually significant spatial pooling strategies for image quality assessment
A. K. Moorthy and A. C. Bovik
SPIE Conference on Human Vision and Electronic Imaging
Abstract
Spatial pooling strategies used in recent Image Quality Assessment (IQA) algorithms have generally been that of
simply averaging the values of the obtained scores across the image. Given that certain regions in an image are
perceptually more important than others, it is not unreasonable to suspect that gains can be achieved by using
an appropriate pooling strategy. In this paper, we explore two hypothesis that explore spatial pooling strategies
for the popular SSIM metrics. The first is visual attention and gaze direction - ‘where’ a human looks. The
second is that humans tend to perceive ‘poor’ regions in an image with more severity than the ‘good’ ones - and
hence penalize images with even a small number of ‘poor’ regions more heavily. The improvements in correlation
between the objective metrics’ score and human perception is demonstrated by evaluating the performance of
these pooling strategies on the LIVE database of images.
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