Image enhancement and improvement of both color and brightness contrast based on lateral inhibition method

1998 ◽  
pp. 124-131
Author(s):  
Takashi Sakamoto ◽  
Toshikazu Kato
Keyword(s):  
Image Enhancement ◽  
Lateral Inhibition ◽  
Brightness Contrast

Does Brightness Contrast Really Affect the Mueller-Lyer Illusion

1981 ◽  
Vol 52 (2) ◽  
pp. 623-629 ◽  
Author(s):  
Darrell L. Butler
Keyword(s):  
Lateral Inhibition ◽  
Brightness Contrast ◽  
Lyer Illusion ◽  
Straight Lines

Several writers have hypothesized that the Mueller-Lyer illusion is influenced by brightness contrast between figure and background. According to them, lateral inhibition in the retina causes displacement in Mueller-Lyer figures at the intersections of lines. They argue that the strength of the displacement varies with brightness contrast between the background and the figure, and they cite research by Pollack and others for support. The experiments reported here show that the Mueller-Lyer illusion is no more affected by changes in contrast than are judgments of single straight lines. These results are not consistent with the view that lateral. inhibition in the retina has an effect on the illusion.

scholarly journals Image enhancement algorithm based on improved lateral inhibition network

2016 ◽  
Vol 76 ◽  
pp. 308-314 ◽  
Author(s):  
Haijiao Yun ◽  
Zhiyong Wu ◽  
Guanjun Wang ◽  
Gang Tong ◽  
Hua Yang
Keyword(s):  
Image Enhancement ◽  
Lateral Inhibition ◽  
Enhancement Algorithm

Image enhancement via lateral inhibition: An analysis under illumination changes

Optik ◽  
2016 ◽  
Vol 127 (12) ◽  
pp. 5078-5083 ◽  
Author(s):  
Bai Li ◽  
Ya Li ◽  
Hongxin Cao ◽  
Hamid Salimi
Keyword(s):  
Image Enhancement ◽  
Lateral Inhibition ◽  
Illumination Changes

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.

Illusory Contours: Curious Cases of Simultaneous Brightness Contrast?

Perception ◽  
1975 ◽  
Vol 4 (3) ◽  
pp. 349-357 ◽  
Author(s):  
John P Frisby ◽  
Jeremy L Clatworthy
Keyword(s):  
Lateral Inhibition ◽  
Brightness Contrast ◽  
Retinal Images ◽  
Neural Encoding ◽  
Illusory Contours ◽  
Simultaneous Brightness Contrast

It is suggested that simultaneous brightness contrast mediated by lateral inhibition plays an important role in generating many illusory contours. These contours might reflect a further way in which lateral inhibition serves to clarify and sharpen the neural encoding of retinal images.

Exploring Coronal Structures with SOHO

2000 ◽  
Vol 179 ◽  
pp. 403-406
Author(s):  
M. Karovska ◽  
B. Wood ◽  
J. Chen ◽  
J. Cook ◽  
R. Howard
Keyword(s):  
Solar Corona ◽  
Image Enhancement ◽  
Coronal Mass Ejections ◽  
Dynamical Evolution ◽  
Small Scale ◽  
Low Contrast ◽  
Contrast Structures ◽  
Scale Structures ◽  
Small Scale Structures ◽  
Coronal Structures

AbstractWe applied advanced image enhancement techniques to explore in detail the characteristics of the small-scale structures and/or the low contrast structures in several Coronal Mass Ejections (CMEs) observed by SOHO. We highlight here the results from our studies of the morphology and dynamical evolution of CME structures in the solar corona using two instruments on board SOHO: LASCO and EIT.

Cosmetology treatments on human hair: An SEM study

1996 ◽  
Vol 54 ◽  
pp. 940-941
Author(s):  
D.F. Bowling
Keyword(s):  
High School ◽  
High Resolution ◽  
Human Hair ◽  
Optical Microscope ◽  
Convincing Evidence ◽  
Brightness Contrast ◽  
Sem Study

High school cosmetology students study the methods and effects of various human hair treatments, including permanents, straightening, conditioning, coloring and cutting. Although they are provided with textbook examples of overtreatment and numerous hair disorders and diseases, a view of an individual hair at the high resolution offered by an SEM provides convincing evidence of the hair‘s altered structure. Magnifications up to 2000X provide dramatic differences in perspective. A good quality classroom optical microscope can be very informative at lower resolutions.Students in a cosmetology class are initially split into two groups. One group is taught basic controls on the SEM (focus, magnification, brightness, contrast, specimen X, Y, and Z axis movements). A healthy, untreated piece of hair is initially examined on the SEM The second group cements a piece of their own hair on a stub. The samples are dryed quickly using heat or vacuum while the groups trade places and activities.

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