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Published in 2020 at "Developmental psychobiology"
DOI: 10.1002/dev.22062
Abstract: Natural images have properties that adults' behavioral and neural responses are sensitive to, but the development of this sensitivity is not clear. Behaviorally, children acquire adult-like sensitivity to natural image statistics during middle childhood (Ellemberg…
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Keywords:
sensitivity;
middle childhood;
natural image;
image statistics ... See more keywords
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Published in 2019 at "Current Opinion in Neurobiology"
DOI: 10.1016/j.conb.2019.01.008
Abstract: Divisive normalization and subunit pooling are two canonical classes of computation that have become widely used in descriptive (what) models of visual cortical processing. Normative (why) models from natural image statistics can help constrain the…
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Keywords:
hierarchical models;
normalization pooling;
image statistics;
pooling hierarchical ... See more keywords
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Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3163307
Abstract: Modeling statistics of image priors is useful for image super-resolution, but little attention has been paid from the massive works of deep learning-based methods. In this work, we propose a Bayesian image restoration framework, where…
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Keywords:
bayesian image;
image statistics;
super resolution;
image super ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0262763
Abstract: The mouse has dichromatic color vision based on two different types of opsins: short (S)- and middle (M)-wavelength-sensitive opsins with peak sensitivity to ultraviolet (UV; 360 nm) and green light (508 nm), respectively. In the…
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Keywords:
vision;
image;
image statistics;
statistics mouse ... See more keywords
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Published in 2019 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2019.00046
Abstract: It is well-known that the human visual system is adapted to the statistical structure of natural scenes. Yet there are important classes of images – for example, medical images – that are not natural scenes,…
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Keywords:
brain mri;
image;
image statistics;
natural images ... See more keywords