A new color image fusion method for visible and infrared images

A biologically inspired image fusion mechanism is analyzed in this paper. A pseudo-color image fusion method is proposed based on the improvement of a traditional method. The proposed model describes the fusion process using several abstract definitions which correspond to the detailed behaviors of neurons. Firstly, the infrared image and visible image are respectively ON against enhanced and OFF against enhanced. Secondly, we feed back the enhanced visible images given by the ON-antagonism system to the active cells in the center-surrounding antagonism receptive field. The fused [Formula: see text]VIS[Formula: see text]IR signal are obtained by feeding back the OFF-enhanced infrared image to the corresponding surrounding-depressing neurons. Then we feed back the enhanced visible signal from OFF-antagonism system to the depressing cells in the center-surrounding antagonism receptive field. The ON-enhanced infrared image is taken as the input signal of the corresponding active cells in the neurons, then the cell response of infrared-enhance-visible is produced in the process, it is denoted as [Formula: see text]IR[Formula: see text]VIS. The three kinds of signal are considered as R, G and B components in the output composite image. Finally, some experiments are performed in order to evaluate the performance of the proposed method. The information entropy, average gradient and objective image fusion measure are used to assess the performance of the proposed method objectively. Some traditional digital signal processing-based fusion methods are also evaluated for comparison in the experiments. In this paper, the Quantitative assessment indices show that the proposed fusion model is superior to the classical Waxman’s model, and some of its performance is better than the other image fusion methods.

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Image Fusion with Contrast Improving and Feature Preserving

Mathematical Problems in Engineering ◽

10.1155/2015/603195 ◽

2015 ◽

Vol 2015 ◽

pp. 1-14

Author(s):

Din-Chang Tseng ◽

Yu-Shuo Liu ◽

Chang-Min Chou

Keyword(s):

Image Fusion ◽

Bilateral Filter ◽

Fusion Method ◽

Infrared Images ◽

Significant Information ◽

Fused Image ◽

Fusion Methods ◽

Feature Preserving ◽

Image Fusion Method ◽

Previous Image

The goal of image fusion is to obtain a fused image that contains most significant information in all input images which were captured by different sensors from the same scene. In particular, the fusion process should improve the contrast and keep the integrity of significant features from input images. In this paper, we propose a region-based image fusion method to fuse spatially registered visible and infrared images while improving the contrast and preserving the significant features of input images. At first, the proposed method decomposes input images into base layers and detail layers using a bilateral filter. Then the base layers of the input images are segmented into regions. Third, a region-based decision map is proposed to represent the importance of every region. The decision map is obtained by calculating the weights of regions according to the gray-level difference between each region and its neighboring regions in the base layers. At last, the detail layers and the base layers are separately fused by different fusion rules based on the same decision map to generate a final fused image. Experimental results qualitatively and quantitatively demonstrate that the proposed method can improve the contrast of fused images and preserve more features of input images than several previous image fusion methods.

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A false color image fusion method based on multi-resolution color transfer in normalization YCC space

Optik ◽

10.1016/j.ijleo.2014.07.059 ◽

2014 ◽

Vol 125 (20) ◽

pp. 6010-6016 ◽

Cited By ~ 12

Author(s):

Xuelian Yu ◽

Jianle Ren ◽

Qian Chen ◽

Xiubao Sui

Keyword(s):

Image Fusion ◽

Color Image ◽

Fusion Method ◽

Color Transfer ◽

False Color ◽

False Color Image ◽

Image Fusion Method

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A Novel Color Image Fusion Method Based on the Multi-scale Retinex and DWT

2009 International Conference on Information Management and Engineering ◽

10.1109/icime.2009.29 ◽

2009 ◽

Cited By ~ 3

Author(s):

Xiuqiong Zhang

Keyword(s):

Image Fusion ◽

Color Image ◽

Fusion Method ◽

Multi Scale ◽

Image Fusion Method

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