An Adaptive Method of Car Plate Image Enhancement Based on a Simplified Pulse Coupled Neural Network

2008 ◽  
Author(s):  
Cheng Wang ◽  
Shao-Fa Li
Keyword(s):  
Neural Network ◽  
Image Enhancement ◽  
Adaptive Method ◽  
Pulse Coupled Neural Network

scholarly journals Finger-Vein Image Enhancement Based on Pulse Coupled Neural Network

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 57226-57237 ◽  
Author(s):  
Lei Lei ◽  
Feng Xi ◽  
Shengyao Chen
Keyword(s):  
Neural Network ◽  
Image Enhancement ◽  
Pulse Coupled Neural Network ◽  
Finger Vein

scholarly journals Image Enhancement Based on Pulse Coupled Neural Network in the Nonsubsample Shearlet Transform Domain

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Zhi Qu ◽  
Yaqiong Xing ◽  
Yafei Song
Keyword(s):  
Neural Network ◽  
Image Enhancement ◽  
High Frequency ◽  
Inverse Transformation ◽  
Transform Domain ◽  
Shearlet Transform ◽  
Pulse Coupled Neural Network ◽  
Suppress Noise ◽  
Traditional Image ◽  
Better Than

In this study, pulse coupled neural network (PCNN) was modified and applied to the enhancement of blur images. In the transform domain of nonsubsample shearlet transform (NSST), PCNN was used to enhance the details of images in the low- and high-frequency subbands, and then the enhanced low- and high-frequency coefficients were used for NSST inverse transformation to obtain the enhanced images. The results showed that the proposed method can produce higher-quality images and suppress noise better than traditional image enhancement strategies.

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