Improved dual channel pulse coupled neural network and its application to multi-focus image fusion

by   Huai-Shui Tong, et al.

This paper presents an improved dual channel pulse coupled neural network (IDC-PCNN) model for image fusion. The model can overcome some defects of standard PCNN model. In this fusion scheme, the multiplication rule is replaced by addition rule in the information fusion pool of dual channel PCNN (DC-PCNN) model. Meanwhile the sum of modified Laplacian (SML) measure is adopted, which is better than other focus measures. This method not only inherits the good characteristics of the standard PCNN model but also enhances the computing efficiency and fusion quality. The performance of the proposed method is evaluated by using four criteria including average cross entropy, root mean square error, peak value signal to noise ratio and structure similarity index. Comparative studies show that the proposed fusion algorithm outperforms the standard PCNN method and the DC-PCNN method.



page 8

page 9

page 10

page 11

page 13


A Novel adaptive optimization of Dual-Tree Complex Wavelet Transform for Medical Image Fusion

In recent years, many research achievements are made in the medical imag...

The Statistical methods of Pixel-Based Image Fusion Techniques

There are many image fusion methods that can be used to produce high-res...

Image enhancement using fusion by wavelet transform and laplacian pyramid

The idea of combining multiple image modalities to provide a single, enh...

Comparison of Fuzzy and Neuro Fuzzy Image Fusion Techniques and its Applications

Image fusion is the process of integrating multiple images of the same s...

C2MSNet: A Novel approach for single image haze removal

Degradation of image quality due to the presence of haze is a very commo...

Image Quality Assessment for Performance Evaluation of Focus Measure Operators

This paper presents the performance evaluation of eight focus measure op...

A Novel CNN-LSTM-based Approach to Predict Urban Expansion

Time-series remote sensing data offer a rich source of information that ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.