Study of signal-to-noise ratios considered human visual characteristics

2011 ◽  
Author(s):  
Yui Hayashi ◽  
Maki Yamada ◽  
Yukiyoshi Kimura ◽  
Naotoshi Fujita ◽  
Yoshie Kodera
Keyword(s):  
Signal To Noise ◽  
Visual Characteristics ◽  
Human Visual Characteristics

Adaptive scan rate up-conversion system based on human visual characteristics

2000 ◽  
Vol 46 (4) ◽  
pp. 999-1006 ◽  
Author(s):  
Ho Young Lee ◽  
Jin Woo Park ◽  
Tae Min Bae ◽  
Sang Um Choi ◽  
Yeong Ho Ha
Keyword(s):  
Conversion System ◽  
Scan Rate ◽  
Visual Characteristics ◽  
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.

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