In this Keynote Address paper, we review early work on Image and Video Quality Assessment against the backdrop of an interpretation of image perception as a visual communication problem. As a way of explaining our recent work on Video Quality Assessment, we first describe our recent successful advances on QA algorithms for still images, specifically, the Structural SIMilarity (SSIM) Index and t...

Image quality assessment (IQA) algorithms aim to reproduce the human’s perception of image quality. The growing popularity enhancement, generation, and recovery models instigated development many methods assess their performance. However, most IQA solutions are designed predict in general domain, with applicability specific areas, such as medical imaging, remaining questionable. Moreover, selec...

Feature-Product networks (FP-nets) are a novel deep-network architecture inspired by principles of biological vision. These contain the so-called FP-blocks that learn two different filters for each input feature map, outputs which then multiplied. Such an is models end-stopped neurons, common in cortical areas V1 and especially V2. The authors here use FP-nets on three image quality assessment ...