Effects of Image Blur and Lateral Inhibition in the Visual System on Visual Performance

1971 ◽  
Vol 18 (6) ◽  
pp. 461-476
Author(s):  
J.C. Trinder
Keyword(s):  
Visual System ◽  
Lateral Inhibition ◽  
Visual Performance ◽  
Image Blur

scholarly journals Asymmetries of the visual system and their influence on visual performance and oculomotor dynamics

2018 ◽  
Vol 48 (11) ◽  
pp. 3426-3445 ◽  
Author(s):  
Ómar I. Jóhannesson ◽  
Jérôme Tagu ◽  
Árni Kristjánsson
Keyword(s):  
Visual System ◽  
Visual Performance

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

8. The physiology and anatomy of the visual system

2017 ◽  
pp. 123-143
Author(s):  
Brian Rogers
Keyword(s):  
Information Processing ◽  
Visual Cortex ◽  
Visual System ◽  
Lateral Inhibition ◽  
Visual Information ◽  
Receptive Fields ◽  
Neural Pathways ◽  
Human Retina ◽  
Feature Detectors ◽  
System P

‘The physiology and anatomy of the visual system’ describes what we have learned from neurophysiology and anatomy over the past eighty years and what this tells us about the meaning of the circuits involved in visual information processing. It explains how psychologists and physiologists use the terms ‘mechanism’ and ‘process’. For physiologists, a mechanism is linked to the actions of individual neurons, neural pathways, and the ways in which the neurons are connected up. For psychologists, the term is typically used to describe the processes the neural circuits may carry out. The human retina is described with explanations of lateral inhibition, receptive fields, and feature detectors as well as the visual cortex and different visual pathways.

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 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.

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.

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