Image enhancement approach using the just-noticeable-difference model of the human visual system

2012 ◽  
Vol 21 (3) ◽  
pp. 033007 ◽  
Author(s):  
Chang-Hsing Lee
Keyword(s):  
Visual System ◽  
Image Enhancement ◽  
Human Visual System ◽  
Just Noticeable Difference ◽  
Difference Model

Electrophysiological and Psychophysical Responses to Modulation of Contrast of a Grating Pattern

Perception ◽  
1972 ◽  
Vol 1 (3) ◽  
pp. 341-349 ◽  
Author(s):  
I Bodis-Wollner ◽  
C D Hendley ◽  
J J Kulikowski
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Just Noticeable Difference ◽  
Evoked Responses ◽  
Successive Presentation ◽  
Electrophysiological Data ◽  
Grating Pattern ◽  
Modulation Rate ◽  
Contrast Discrimination ◽  
Lower Contrast

Contrast-modulated grating patterns were used to compare evoked responses and psychophysical thresholds of contrast modulation. The stimulus consisted of the successive presentation of a grating pattern at a higher and lower contrast. At a modulation rate of 8 Hz it was found that there is correspondence between the two kinds of data for a 6 cycle/degree grating. The just noticeable difference was not constant, and data approximated a Weber's law of contrast discrimination. However, it was found that there is a slight departure from this law, in that the ratio decreases with mean contrast. Both psychophysical and electrophysiological data exclude a model of simple luminance detection and are consistent with the operation of spatial contrast detectors in the human visual system.

A New Medical Image Enhancement Method Based on Human Visual Characteristics

2014 ◽  
Vol 543-547 ◽  
pp. 2543-2546
Author(s):  
Ai Bin Dong ◽  
Yun Feng Zhang ◽  
Yi Fang Liu
Keyword(s):  
Visual System ◽  
Image Enhancement ◽  
Human Visual System ◽  
Medical Image ◽  
Region Of Interest ◽  
Enhancement Method ◽  
Visual Characteristics ◽  
Medical Image Enhancement ◽  
Human Visual Characteristics

Studying of image enhancement shows that the quality of image heavily relies on human visual system. In this paper, we apply this fact to design a new image enhancement method for medical images that improves the detail regions. First, the eye region of interest (ROI) is segmented; then the Un-sharp Masking (USM) is used to enhance the detail regions. Experiments show that the proposed method can effectively improve the accuracy of medical image enhancement and has a significant effect.

Human Visual System Consistent Model for Wireless Capsule Endoscopy Image Enhancement and Applications

2020 ◽  
Vol 30 (3) ◽  
pp. 280-287
Author(s):  
V. B. Surya Prasath ◽  
Dang N. H. Thanh ◽  
Le Thi Thanh ◽  
N. Q. San ◽  
S. Dvoenko
Keyword(s):  
Visual System ◽  
Image Enhancement ◽  
Capsule Endoscopy ◽  
Human Visual System ◽  
Wireless Capsule Endoscopy ◽  
Consistent Model ◽  
Wireless Capsule

Human visual-system-based image enhancement

2007 ◽  
Author(s):  
Eric J. Wharton ◽  
Karen A. Panetta ◽  
Sos S. Agaian
Keyword(s):  
Visual System ◽  
Image Enhancement ◽  
Human Visual System

Retinal image enhancement based on the human visual system

2006 ◽  
Author(s):  
Kamel Belkacem-Boussaid ◽  
Balaji Raman ◽  
Gilberto Zamora ◽  
Yeshwanth Srinivasan ◽  
Sven-Erick Bursell
Keyword(s):  
Visual System ◽  
Image Enhancement ◽  
Human Visual System ◽  
Retinal Image
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