Deep neural networks (DNNs) for object classification have been argued to provide the most promising model of the visual system, accompanied by claims that they have attained or even surpassed human-level performance.
Hojin Jang, Devin McCormack, Frank Tong
doaj
Exploring Deep Neural Networks in Simulating Human Vision through Five Optical Illusions
Recent research has delved into the biological parallels between deep neural networks (DNNs) in vision and human perception through the study of visual illusions.
Hongtao Zhang, Shinichi Yoshida
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Total Variation Based Perceptual Image Quality Assessment Modeling
Visual quality measure is one of the fundamental and important issues to numerous applications of image and video processing. In this paper, based on the assumption that human visual system is sensitive to image structures (edges) and image local ...
Yadong Wu, Hongying Zhang, Ran Duan
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Digital video incurs many distortions during processing, compression, storage, and transmission, which can reduce perceived video quality. Developing adaptive video transmission methods that provide increased bandwidth and reduced storage space while ...
Anastasia Mozhaeva +6 more
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Video salient region detection model based on wavelet transform and feature comparison
With the advent of the era of big data, the Internet industry has produced massive amounts of multimedia video data. In order to process these video sequence data quickly and effectively, a visual information extraction method based on wavelet transform ...
Fuquan Zhang +2 more
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Spatio-temporal integration properties of the human visual system: Theoretical models and clinical applications [PDF]
Alessandro Grillini
openalex +1 more source
Correction to: Adaptive image camouflage using human visual system model [PDF]
Heng Yao +9 more
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The visual development of hand-centered receptive fields in a neural network model of the primate visual system trained with experimentally recorded human gaze changes [PDF]
Juan M. Galeazzi +11 more
openalex +1 more source
Visible Light-Based Human Visual System Conceptual Model [PDF]
Prangnell, Lee
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A feedforward model of spatial lightness computation by the human visual system
Michael E. Rudd
openalex +2 more sources

