No-Reference Image Quality Assessment Combining Swin-Transformer and Natural Scene Statistics [PDF]
No-reference image quality assessment aims to evaluate image quality based on human subjective perceptions. Current methods face challenges with insufficient ability to focus on global and local information simultaneously and information loss due to ...
Yuxuan Yang, Zhichun Lei, Changlu Li
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Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures [PDF]
Previously, in Hermundstad et al., 2014, we showed that when sampling is limiting, the efficient coding principle leads to a ‘variance is salience’ hypothesis, and that this hypothesis accounts for visual sensitivity to binary image statistics.
Tiberiu Tesileanu +5 more
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Natural scene statistics predict how humans pool information across space in surface tilt estimation. [PDF]
Visual systems estimate the three-dimensional (3D) structure of scenes from information in two-dimensional (2D) retinal images. Visual systems use multiple sources of information to improve the accuracy of these estimates, including statistical knowledge
Seha Kim, Johannes Burge
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Significance of Natural Scene Statistics in Understanding the Anisotropies of Perceptual Filling-in at the Blind Spot [PDF]
Psychophysical experiments reveal our horizontal preference in perceptual filling-in at the blind spot. On the other hand, tolerance in filling-in exhibit vertical preference. What causes this anisotropy in our perception?
Rajani Raman, Sandip Sarkar
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Adaptive colour contrast coding in the salamander retina efficiently matches natural scene statistics. [PDF]
The visual system continually adjusts its sensitivity to the statistical properties of the environment through an adaptation process that starts in the retina. Colour perception and processing is commonly thought to occur mainly in high visual areas, and
Genadiy Vasserman +2 more
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The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics [PDF]
Adaptation is a mechanism by which cortical neurons adjust their responses according to recently viewed stimuli. Visual information is processed in a circuit formed by feedforward (FF) and feedback (FB) synaptic connections of neurons in different ...
Selam W. Habtegiorgis +6 more
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Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics. [PDF]
Spatial context in images induces perceptual phenomena associated with salience and modulates the responses of neurons in primary visual cortex (V1).
Ruben Coen-Cagli +2 more
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Unsupervised visual learning is revealed for task-irrelevant natural scenes due to reduced attentional suppression effects in visual areas [PDF]
Unsupervised learning—learning through repeated exposure without instruction or reward—is central to both machine learning and human cognition, including language acquisition and statistical learning. However, its role in visual perceptual learning (VPL)
Takeo Watanabe +5 more
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Multi-scale spatial concatenations of local features in natural scenes and scene classification. [PDF]
How does the visual system encode natural scenes? What are the basic structures of natural scenes? In current models of scene perception, there are two broad feature representations, global and local representations.
Xiaoyuan Zhu, Zhiyong Yang
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Recently, stereoscopic image quality assessment has attracted a lot attention. However, compared with 2D image quality assessment, it is much more difficult to assess the quality of stereoscopic images due to the lack of understanding of 3D visual ...
Liquan Shen +4 more
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