Energy Components Based Image Fusion Technique for Both Gray Scale and Color Images
Gaurav Choudhary1, Manju2
1Gaurav Choudhary, Department of Electronic Engineering, Govt. Polytechnic College Rajsamand, Rajsamand (Rajasthan)-313324, India.
2Manju, Department of Electronic Engineering, Govt. Polytechnic College Neemrana, Daulatsinghpura (Rajasthan)-301709, India.
Manuscript received on December 02, 2017. | Revised Manuscript received on December 16, 2017. | Manuscript published on December 20, 2017.| PP: 1-7 | Volume-4 Issue-7, December 2017 | Retrieval Number: G0777114717/2017©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, an image fusion scheme based on Hilbert vibration decomposition (HVD) is proposed. In this proposed technique, the images to be fused are first enhanced and then converted into 1-D signals which are decomposed using the HVD technique into different components called energy components. These energy components are fused by taking the average of corresponding energy components except the last component having least energy. Simulation results of the proposed technique are carried out in MATLAB and its performance is compared with other existing techniques using some commonly used performance metrics. It is seen that the proposed technique gives better visual appearance of the fused image than other existing techniques and the values of the several performance metrics are also better/comparable with other techniques. The simulation results obtained for color images show that the proposed algorithm works well for color images in HSI color space also.
Keywords: Image Fusion; Image Enhancement; Hilbert Vibration Decomposition.