scholarly journals Stochastic re-calibration: contextual effects on perceived tilt

2006 ◽  
Vol 273 (1601) ◽  
pp. 2681-2686 ◽  
Author(s):  
Joshua A Solomon ◽  
Michael J Morgan
Keyword(s):  
Visual Field ◽  
Visual System ◽  
Lateral Inhibition ◽  
Human Visual System ◽  
Contextual Effects ◽  
Letter Recognition ◽  
Tilt Illusion ◽  
Reference Orientation ◽  
The Difference

The human visual system exaggerates the difference between the tilts of adjacent lines or grating patches. In addition to this tilt illusion, we found that oblique flanks reduced acuity for small changes of tilt in the centre of the visual field. However, no flanks—regardless of their tilts—decreased sensitivity to contrast. Thus, the foveal tilt illusion should not be attributed to orientation-selective lateral inhibition. Nor is it similar to conventional crowding, which typically does not impair letter recognition in the fovea. Our observers behaved as though the reference orientation (horizontal) had a small tilt in the direction of the flanks. We suggest that the extent of this re-calibration varies randomly over trials, and we demonstrate that this stochastic re-calibration can explain flank-induced acuity loss in the fovea.

Infrared target detection method based on the receptive field and lateral inhibition of human visual system

2017 ◽  
Vol 56 (30) ◽  
pp. 8555 ◽  
Author(s):  
Shangnan Zhao ◽  
Yong Song ◽  
Yufei Zhao ◽  
Yun Li ◽  
Lin Li ◽  
...  
Keyword(s):  
Receptive Field ◽  
Visual System ◽  
Target Detection ◽  
Lateral Inhibition ◽  
Human Visual System ◽  
Detection Method

Time course of lateral inhibition in the human visual system

1973 ◽  
Vol 63 (3) ◽  
pp. 385 ◽  
Author(s):  
Susan Petry ◽  
Donald C. Hood ◽  
Franklin Goodkin
Keyword(s):  
Visual System ◽  
Lateral Inhibition ◽  
Human Visual System ◽  
Time Course

scholarly journals Lateral Inhibition in the Human Visual System in Patients with Glaucoma and Healthy Subjects: A Case-Control Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0151006 ◽  
Author(s):  
Francisco G. Junoy Montolio ◽  
Wilma Meems ◽  
Marieke S. A. Janssens ◽  
Lucas Stam ◽  
Nomdo M. Jansonius
Keyword(s):  
Visual System ◽  
Lateral Inhibition ◽  
Human Visual System ◽  
Healthy Subjects ◽  
Case Control Study ◽  
Case Control ◽  
Control Study

Peripheral Movement, Induced Movement, and Aftereffects from Induced Movement

Perception ◽  
1981 ◽  
Vol 10 (2) ◽  
pp. 173-182 ◽  
Author(s):  
Anthony H Reinhardt-Rutland
Keyword(s):  
Visual Field ◽  
Visual System ◽  
Lateral Inhibition ◽  
Static Field ◽  
Relative Movement ◽  
Partial Explanation ◽  
Peripheral Location

Substantial rotatory induced movement and aftereffects associated with induced movement were observed in a large static patterned disc bounded at its periphery by a rotating patterned annulus. The area of the annulus was less than one tenth that of the disc, so its peripheral location seemed to be important in eliciting these phenomena. This was confirmed in two experiments comparing a peripheral annulus and a relatively central annulus in their ability to elicit induced movement and aftereffects in the same large static field. Aspects of the vection (induced self-movement) phenomenon may have been involved in generation of induced movement. This suggested that the motion-inducing properties of the peripheral annulus might have derived from: (i) its eccentric location in the perceiver's visual field; or (ii) its location with regard to the display itself. Two further experiments showed that (ii) was important for the elicitation of both induced movement and the aftereffects, and (i) was important for the elicitation of induced movement. Neurons responsive to relative movement in conjunction with lateral inhibition may provide a partial explanation for these effects. However, they do not explain why the visual system can assign considerable movement to a large static field under the conditions of these experiments.

Study on an Infrared Image Enhancement Algorithm by Using Lateral Inhibition of Human Visual System

2014 ◽  
Vol 696 ◽  
pp. 92-98
Author(s):  
Shao Sheng Dai ◽  
Qiang Liu ◽  
Hua Ming Tang ◽  
Jin Song Liu ◽  
Hai Yan Xiang
Keyword(s):  
Visual System ◽  
Image Enhancement ◽  
Exponential Function ◽  
Lateral Inhibition ◽  
Human Visual System ◽  
Infrared Image ◽  
Distribution Model ◽  
Rapid Decline ◽  
Low Contrast ◽  
Enhancement Algorithm

Aiming at infrared images' disadvantages such as low contrast and blur edges, an infrared image enhancement algorithm using lateral inhibition of human visual system (HVS) is proposed. The algorithm makes use of the rapid decline properties of exponential function to reconstruct lateral inhibition coefficient distribution model based on exponential function, which could provide an obvious inhibition function and produce strong contrast between sharp edge and even part. The experimental results show that image edges are obviously highlighted, and the edge enhancement is 2 times compared with traditional balanced spacing density of gray-scale, and the PSNR is 2 times compared with traditional histogram equalization method.

Lateral Inhibition between Orientation Detectors in the Human Visual System

Nature ◽  
1970 ◽  
Vol 228 (5266) ◽  
pp. 37-39 ◽  
Author(s):  
COLIN BLAKEMORE ◽  
ROGER H. S. CARPENTER ◽  
MARK A. GEORGESON
Keyword(s):  
Visual System ◽  
Lateral Inhibition ◽  
Human Visual System

Lateral inhibition in the human visual system in healthy subjects and in patients with glaucoma

2014 ◽  
Vol 92 ◽  
pp. 0-0
Author(s):  
FG JUNOY MONTOLIO ◽  
W MEENS ◽  
MSA JANSSENS ◽  
L STAM ◽  
NM JANSONIUS
Keyword(s):  
Visual System ◽  
Lateral Inhibition ◽  
Human Visual System ◽  
Healthy Subjects

scholarly journals Retinex Based Image Enhancement via General Dictionary Convolutional Sparse Coding

2020 ◽  
Vol 10 (12) ◽  
pp. 4395
Author(s):  
Jongsu Yoon ◽  
Yoonsik Choe
Keyword(s):  
Visual System ◽  
Image Enhancement ◽  
Sparse Coding ◽  
Human Visual System ◽  
Color Constancy ◽  
Large Dataset ◽  
Learned Dictionary ◽  
Retinex Theory ◽  
The Difference ◽  
Value Decomposition

Retinex theory represents the human visual system by showing the relative reflectance of an object under various illumination conditions. A feature of this human visual system is color constancy, and the Retinex theory is designed in consideration of this feature. The Retinex algorithms have been popularly used to effectively decompose the illumination and reflectance of an object. The main aim of this paper is to study image enhancement using convolution sparse coding and sparse representations of the reflectance component in the Retinex model over a learned dictionary. To realize this, we use the convolutional sparse coding model to represent the reflectance component in detail. In addition, we propose that the reflectance component can be reconstructed using a trained general dictionary by using convolutional sparse coding from a large dataset. We use singular value decomposition in limited memory to construct a best reflectance dictionary. This allows the reflectance component to provide improved visual quality over conventional methods, as shown in the experimental results. Consequently, we can reduce the difference in perception between humans and machines through the proposed Retinex-based image enhancement.

scholarly journals FEATURES OF HOLOGRAPHIC PERCEPTION OF VISUAL PERSPECTIVE IN ARCHITECTURE

2020 ◽  
Vol 2 (2) ◽  
pp. 125-131
Author(s):  
Kuzmych V. ◽  
Keyword(s):  
Visual Perception ◽  
Visual System ◽  
Human Visual System ◽  
Human Perception ◽  
Visual Perspective ◽  
Energy Flows ◽  
Horizon Line ◽  
Tonal Perception ◽  
The Difference ◽  
The Right

The article is devoted to the phenomenon of holographic human perception in the analysis of the architectural environment. Includes aspects of perspective-tonal perception of visual factors of holographic scanning of the human visual system. Aimed at understanding and reproducing the features and nuances of vision, in the context of summary analysis and reproduction of the system of energy flows in the elements of visual perception. The holographic factor of perception of reality is based on the difference between the work of the right and left eye, with the peculiarity of the angular adjustment of vision to the object of observation. The horizon line or the height of the perception of volumes, as well as the position of the spaces of the architectural environment remain dominant.

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