1 research outputs found
A novel spatial pooling technique for image quality assessment based on luminance-contrast dependence
The paper presents a spatial pooling technique for image quality
assessment (IQA) that is based on the idea that the adaptive
mechanisms of luminance and contrast in the early vision
operate independently. The work is motivated by recent vision
science studies on this topic that have not been investigated
yet in the field of IQA. The Structural SIMilarity index
(SSIM) has been selected as the base IQA measure due to its
explicit utilization of the local luminance mean and contrast
of both original and degraded images. Experimental results
show that a spatial pooling algorithm that only depends on
the degraded image results in significantly improved image
quality prediction