Image Fusion Based on Transformation and Optimization Techniques
Rajendra Kumar Patel1, Jyoti Sarup2, Ruchi Khare3
1Rajendra Kumar Patel, PhD, MANIT Bhopal.
2Jyoti Sarup, Associate Professor, Department of Civil Engineering in MANIT Bhopal.
3Ruchi Khare, Associate Professor, Department of Civil Engineering in MANIT Bhopal.
Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 3650-3654 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6612018520/2020©BEIESP | DOI: 10.35940/ijrte.E6612.018520
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© The Authors. 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: Digital image processing is very promising research area for the researchers; image fusion is one of them. Image fusion is the process of improvements in the results for scene by combining information captured by multiple sources or modality sensors. The objective of image fusion is to extract the required important data from the multiple different image to generate a combine image that contain a improvement image than individual image. In this paper we presents the image fusion techniques with the wavelet transform and particle swarm optimization and our simulation shows that the our proposed method gives better results than the existing techniques.
Keywords: Image Fusion, PSNR, Optimization, Gray Image.
Scope of the Article: Cross Layer Design and Optimization.