A High Performance Architecture for Color Image Enhancement Using a Machine Learning Approach

2006 ◽  
Vol 2 (1) ◽  
Author(s):  
Ming Z. Zhang ◽  
Vijayan K. Asari ◽  
Ming-Jung Seow
Keyword(s):  
Machine Learning ◽  
Image Enhancement ◽  
High Performance ◽  
Color Image ◽  
Learning Approach ◽  
Color Image Enhancement ◽  
Machine Learning Approach

Accelerated identification of high-performance catalysts for low-temperature NH3-SCR by machine learning

2021 ◽  
Author(s):  
Yi Dong ◽  
Yu Zhang ◽  
Mingchu Ran ◽  
Xiao Zhang ◽  
Shaojun Liu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Low Temperature ◽  
High Performance ◽  
Rapid Screening ◽  
Learning Approach ◽  
Scr Catalyst ◽  
Nh3 Scr ◽  
Machine Learning Approach

A machine learning approach for SCR catalyst discovery is presented to realize the rapid screening of optimal catalysts.

A Novel Color-Image Enhancement Approach for Night-Vision Images

2014 ◽  
Vol 556-562 ◽  
pp. 4750-4754
Author(s):  
Si Qi Wu ◽  
Yao Hu ◽  
Wei Yu Yu ◽  
Jiu Chao Feng
Keyword(s):  
Image Enhancement ◽  
High Performance ◽  
Color Image ◽  
Night Vision ◽  
Visual Effects ◽  
Color Image Enhancement

Night-vision devices are becoming more and more important now, but images captured by these devices often have unpleasing visual effects. According to the characteristics of night-vision images, in this paper we propose an image enhancement approach maintaining color fidelity. Firstly, the image is divided into RGB channel and decomposed into reflectance component and illuminance component. Secondly, the non-uniform illuminance component of the image is filtered again to eliminate the uneven illumination. Finally, we combine the reflectance component and the corrected illuminance component and adjust the brightness of the combined image. The experiment result shows that the proposed enhancement approach has high-performance.

Sign in / Sign up

Export Citation Format

Share Document