Multi-focus Gray Scale Image Fusion: A Comparative Analysis

The main objective of image fusion is to combine information from more than one image of the same scene. The resulting image is more suitable for human as well as machine perception or further image-processing tasks as image segmentation, object recognition and feature extraction. In this paper, principal component analysis based and average pixel level base approach is proposed for pixel level image-fusion. The fused image can effectively improve the image contrast and clarity, and produce effective vision quality. The fusion image can be compared with the results obtained by PCA and average pixel level, and a robust analysis was done through the experimental analysis. Finally, the experimental results indicate that the PCA based proposed novel algorithm ensure the integrity, continuity and accurate information.