Efficient Image Integration Technique: Mismatch of Subjective and Objective Analysis
- 1 Amritsar College of Engineering and Technology, India
- 2 Indian Institute of Technology (CBME), India
- 3 Panjab University, India
- 4 Lovely Professional University, India
The paper intends to extract features with high visual quality during image fusion. An improved image fusion algorithm is presented, aiming to preserve necessary features and relevant information, simultaneously focusing on highly enhanced visual results. The resultant fused image obtained is superior to other images obtained from other state-of-the-art techniques with respect to visual quality. A novel and improved image fusion algorithm is presented, which outperforms the other eight state-of-the-art techniques of image fusion. The proposed methodology includes a combinational approach of anisotropic diffusion and Laplacian pyramid leading to image enhancement. The paper also reveals a contradiction of the visual results with respect to objective results.
Copyright: © 2019 Setika Mehra, Ayush Dogra, Bhawna Goyal, Apoorav Maulik Sharma, Rahul Shukla and Shivendra Singh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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- Image Fusion
- Anisotropic Diffusion
- Spatial Filters
- Laplacian Pyramid Average Fusion Rule