Medical Image Enhancement Algorithm based on Local Contrast Enhancement and Human Visual Characteristics

2010 ◽  
Vol 7 (7) ◽  
Author(s):  
M. Alwani ◽  
D. Goyal ◽  
A.K. Tiwari
Keyword(s):  
Contrast Enhancement ◽  
Image Enhancement ◽  
Medical Image ◽  
Local Contrast ◽  
Local Contrast Enhancement ◽  
Visual Characteristics ◽  
Medical Image Enhancement ◽  
Enhancement Algorithm ◽  
Human Visual Characteristics

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.

Medical image enhancement algorithm based on NSCT and the improved fuzzy contrast

2015 ◽  
Vol 25 (1) ◽  
pp. 7-14 ◽  
Author(s):  
Jing-jing Wang ◽  
Zhen-hong Jia ◽  
Xi-zhong Qin ◽  
Jie Yang ◽  
Nikola Kasabov
Keyword(s):  
Image Enhancement ◽  
Medical Image ◽  
Medical Image Enhancement ◽  
Enhancement Algorithm

Medical Image Enhancement Algorithm Based on Shearlet Domain and Improve Pal-King Algorithm

2019 ◽  
Vol 56 (3) ◽  
pp. 031006
Author(s):  
侯向丹 Hou Xiangdan ◽  
郑梦敬 Zheng Mengjing ◽  
刘洪普 Liu Hongpu ◽  
李柏岑 Li Bocen
Keyword(s):  
Image Enhancement ◽  
Medical Image ◽  
Medical Image Enhancement ◽  
Enhancement Algorithm
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