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15 mar 2018 · The computational modeling of human visual system (HVS) is closely connected with image quality assessment (IQA) since visual signal quality is always finally evaluated by the former. Therefore, basic knowledge about HVS, especially its parts that are in charge of...
5 mar 2024 · These results provide compelling evidence that blur-trained CNNs provide a better neurocomputational model of the robustness of the human visual system.
13 paź 2023 · The human visual system (HVS) is capable of responding in real-time to complex visual environments. During the process of freely observing visual scenes, predicting eye movements and visual fixations is a task known as scanpath prediction, which aims to simulate the HVS.
4 sty 2021 · For bridging the gap between signal distortion and visual experience, in this paper, we propose a novel perceptual no-reference (NR) IQA algorithm based on structural computational modeling of HVS.
17 paź 2024 · In this study, we systematically compare these approaches for modeling the human visual system and investigate alternative strategies to improve response predictions.
The basic idea is to copy the Human Visual System (HVS) by modeling some of its parts in order to develop low level image processing modules. Up to now, the most well-known parts of our visual system are the retina and the V1 cortex area which are the two parts on which we focus our work.
15 mar 2018 · Utilizing the properties of human visual system (HVS) is a major source of inspirations for the design of image quality assessment (IQA) methods. With the current research status of neuroscience and human vision perception, although a rigorous simulation of HVS is...
