*Research scholar, Naraina Naraina College of Engineering & Technology
**Asst. Professor, College of Engineering & Technolog
Online published on 24 October, 2019.
Image fusion is process of combining two different images of same scene which are multi focused by nature. It has the major application in the field of visual sensor network for efficient surveillance monitoring. The thesis presents a novel hybrid image fusion technique that has the capabilities to be used in the real time environment such as central computer of visual sensor network for efficient surveillance purpose. The proposed method contains three different steps and the final step shows the final result of the proposed method. The three steps includes: first step is fuse the images using DWT, second step is to fuse the images using SWT and the final third step is to fuse the previous two results using averaging operations. The proposed technique is experimented on various dataset of different sizes from different databases but in the thesis the results are presented at the fixed image size for easy comparison. It is found that this proposed method shows the best fusion results on comparing with some of the most prevailing standard methods. The experimental results are performed on the basis of qualitative and quantitative analysis. The comparative computational time is also evaluated for better judgement of the effectiveness of proposed method on same system where the other compared method's results are evaluated. The proposed method has the ability to be implemented on any real time applications.
