Analysing the patterns of spatial contrast discontinuities in natural images for robust edge detection
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-00976-y
Abstract: The pattern of spatial contrast discontinuities in natural images has been analysed in the present work, and based on it, a new adaptive model of the bio-inspired Difference of Gaussian (DOG)-based edge detector has been… read more here.
Keywords: spatial contrast; model; contrast; natural images ... See more keywords
Identifying natural images and computer generated graphics based on binary similarity measures of PRNU
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5101-3
Abstract: Aiming at the identification of natural images and computer generated graphics, an image source pipeline forensics method based on binary similarity measures of PRNU (photo response non-uniformity) is proposed. As PRNU is a unique attribute… read more here.
Keywords: natural images; images computer; generated graphics; computer generated ... See more keywords
Seeing Natural Images through the Eye of a Fly with Remote Focusing Two-Photon Microscopy
Sign Up to like & getrecommendations! Published in 2020 at "iScience"
DOI: 10.1016/j.isci.2020.101170
Abstract: Summary Visual systems of many animals, including the fruit fly Drosophila, represent the surrounding space as 2D maps, formed by populations of neurons. Advanced genetic tools make the fly visual system especially well accessible. However,… read more here.
Keywords: seeing natural; microscopy; two photon; natural images ... See more keywords
Predictive coding of natural images by V1 firing rates and rhythmic synchronization
Sign Up to like & getrecommendations! Published in 2022 at "Neuron"
DOI: 10.1016/j.neuron.2022.01.002
Abstract: Predictive coding is an important candidate theory of self-supervised learning in the brain. Its central idea is that sensory responses result from comparisons between bottom-up inputs and contextual predictions, a process in which rates and… read more here.
Keywords: coding natural; predictability; predictive coding; synchronization ... See more keywords
DenseNet-Based Land Cover Classification Network With Deep Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3042199
Abstract: Recently, fully convolutional network (FCN)-based (Long et al., 2015) networks have made impressive success in semantic segmentation, and these approaches achieve satisfactory results in natural images. However, in the field of high-resolution remote sensing image… read more here.
Keywords: dense; fusion; level; segmentation ... See more keywords
Perceptual Quality Evaluation of Hazy Natural Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3065439
Abstract: Haze is an intrusion element that disrupts color fidelity and contrast of outdoor natural images, affecting their perceptual quality. The differential characteristics of hazy images compared to other natural images restrict the generalization of existing… read more here.
Keywords: iqa algorithms; hazy natural; quality; correlation coefficient ... See more keywords
Toward Specular Removal from Natural Images Based on Statistical Reflection Models
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2967857
Abstract: Removing specular reflections from images is critical for improving the performance of computer vision algorithms. Recently, state-of-the-art methods have demonstrated remarkably good performance at removing specular reflections from chromatic images. These methods are typically based… read more here.
Keywords: specular removal; specular reflections; achromatic regions; removing specular ... See more keywords
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex
Sign Up to like & getrecommendations! Published in 2022 at "Neural Computation"
DOI: 10.1162/neco_a_01498
Abstract: Abstract Images of visual scenes comprise essential features important for visual cognition of the brain. The complexity of visual features lies at different levels, from simple artificial patterns to natural images with different scenes. It… read more here.
Keywords: visual cortex; two photon; natural images; photon calcium ... See more keywords
The statistics of how natural images drive the responses of neurons
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Vision"
DOI: 10.1167/19.13.4
Abstract: To model the responses of neurons in the early visual system, at least three basic components are required: a receptive field, a normalization term, and a specification of encoding noise. Here, we examine how the… read more here.
Keywords: images drive; response; responses neurons; natural images ... See more keywords
Statistics of natural images as a function of dynamic range.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of vision"
DOI: 10.1167/19.2.13
Abstract: The statistics of real world images have been extensively investigated, but in virtually all cases using only low dynamic range image databases. The few studies that have considered high dynamic range (HDR) images have performed… read more here.
Keywords: function dynamic; range; images function; natural images ... See more keywords
Retinal encoding of natural images.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of vision"
DOI: 10.1167/jov.22.3.54
Abstract: Current predictive models of natural scene encoding by retinal ganglion cells perform poorly, especially when tested on stimuli that they are not trained on. This failure is likely to originate at least in part because… read more here.
Keywords: encoding natural; natural images; retinal encoding;