A Novel Optimized Mixed Spatial Domain Fusion Technique Using Split Images
Asian Journal of Applied Science and Technology (AJAST), Volume 2, Issue 4, Pages 194-205, Oct-Dec 2018
12 Pages Posted: 11 Dec 2018
Date Written: November 17, 2018
The Objective of Image fusion is to combine the information content from two or more images of low entropy and to produce a high quality image for better visualization. Spatial domain fusion methods directly process input images at pixel level to produce a quality fused image. Many spatial domain techniques were proposed in the past. In this paper a novel optimized mixed spatial fusion approach is proposed by combining simple spatial and PCA based fusion technique to produce better fused image than single spatial technique. Here we apply the input images and corresponding fused image is obtained, with different RGB values for different techniques. The concept of PSO is a number of particles that constitute a swarm moving around in the search space and looking for the best solution. Each particle in the search space adjusts its “flying” according to its own flying experience as well as the flying experience of other particles. The experimental results show that optimized mixed spatial domain eliminates the draw backs of individual spatial domain approach.
Keywords: Image Fusion, Maximum, Minimum, PCA, PSO
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