Simple assumptions to improve Markov illuminance and reflectance

Y Kobayashi, A Kitaoka - Frontiers in Psychology, 2022 - frontiersin.org
Murray recently introduced a novel computational lightness model, Markov illuminance and
reflectance (MIR). MIR is a promising new approach that simulates human lightness …

Chromatic induction in migraine

O Penacchio, X Otazu - Vision, 2021 - research-repository.st-andrews.ac …
The human visual system is not a colorimeter. The perceived colour of a region does not
only depend on its colour spectrum, but also on the colour spectra and geometric …

Amplitude and sign decompositions by complex wavelets-Theory and applications to image analysis

M Storath - 2013 - mediatum.ub.tum.de
The present thesis deals with amplitude and sign decompositions of images via complex
wavelets. We develop the monogenic curvelet transform for the directional decomposition of …

Luminance gradients and non-gradients as a cue for distinguishing reflectance and illumination in achromatic images: A computational approach

A Lerer, H Supèr, MS Keil - Neural Networks, 2019 - Elsevier
The brain analyses the visual world through the luminance patterns that reach the retina.
Formally, luminance (as measured by the retina) is the product of illumination and …

[HTML][HTML] Brightness masking is modulated by disparity structure

V Pelekanos, H Ban, AE Welchman - Vision Research, 2015 - Elsevier
The luminance contrast at the borders of a surface strongly influences surface's apparent
brightness, as demonstrated by a number of classic visual illusions. Such phenomena are …

Lightness of Munker-White illusion and Simultaneous-Contrast illusion: Establishing an ordinal lightness relation among minimum and split-frame presentations

A Li, MJ Tavantzis, A Yazdanbakhsh - Review of psychology, 2009 - hrcak.srce.hr
Sažetak The achromatic Munker-White illusion and the Simultaneous-Contrast illusion have
been used extensively in vision studies to understand how the figural configuration of a …

Reversing the reversed contrast

T Agostini, M Murgia, A Galmonte - Perception, 2014 - journals.sagepub.com
Galmonte and Agostini (1998 Investigative Ophthalmology & Visual Science, 39 (4), S158),
Agostini and Galmonte (2002 Psychological Science, 13, 89–93), Bressan (2001 …

Visual illusions also deceive convolutional neural networks: analysis and implications

A Gomez-Villa, A Martín, J Vazquez-Corral… - arXiv preprint arXiv …, 2019 - arxiv.org
Visual illusions allow researchers to devise and test new models of visual perception. Here
we show that artificial neural networks trained for basic visual tasks in natural images are …

Dynamic brightness induction causes flicker adaptation, but only along the edges: Evidence against the neural filling-in of brightness

AE Robinson, VR de Sa - Journal of Vision, 2013 - jov.arvojournals.org
Is brightness represented in a point-for-point neural map that is filled in from the response of
small, contrast-sensitive edge detector cells? We tested for the presence of this filled-in map …

[图书][B] Computational model of visual perception: From colour to form

SA Akbarinia - 2017 - ddd.uab.cat
The original idea of this project was to study the role of colour in the challenging task of
object recognition. We started by extending previous research on colour naming showing …