Survey Paper on Image Fusion using Hybrid Non-subsampled Contourlet Transform and Neural Network

2021 ◽  
Author(s):  
Dipika Kumari ◽  
Abhishek Agwekar
Keyword(s):  
Neural Network ◽  
Image Fusion ◽  
Contourlet Transform ◽  
Survey Paper

scholarly journals Image Fusion Algorithm Based on Contourlet Transform and PCNN for Detecting Obstacles in Forests

2015 ◽  
Vol 15 (1) ◽  
pp. 116-125 ◽  
Author(s):  
Zheng Yu ◽  
Lei Yan ◽  
Ning Han ◽  
Jinhao Liu
Keyword(s):  
Neural Network ◽  
Principal Component Analysis ◽  
Wavelet Transform ◽  
Image Fusion ◽  
Principal Component ◽  
Experimental Results ◽  
Contourlet Transform ◽  
Detection Accuracy ◽  
Fusion Algorithm ◽  
Infrared Thermal Images

Abstract In this paper the image fusion algorithm based on Contourlet transform and Pulse Coupled Neural Network (PCNN) was proposed to improve the performance of the image fusion in the detection accuracy of obstacles in forests. At the same time, the wavelet transform and the Principal Component Analysis (PCA) were simulated for comparison with the proposed algorithm. Then visible and infrared thermal images were collected in a forest. The experimental results have shown that the fused images using the method proposed provided a better understanding of the reality, enhanced images’ clarity and eliminated factors which provided shelters for targets.

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