A novel and improved Spatial domain fusion method using Simple—PCA techniques

Image fusion is widely recognized as an important technique in pattern recognition and computer vision. The object of image fusion is fuse one or more source images with different focus points in to one image, so that the result of image fusion is an image which is more clarity and better information. This paper presents a novel and improved pixel-level multifocal image fusion technique has been implemented. A proposed spatial domain technique is presented by Max, Min, PCA, Max-Min, Max-PCA and Min-PCA of image fusion techniques is done. The proposed spatial domain technique outperforms the state of the art spatial domain techniques. The experimental results demonstrate that the proposed approach performs better in both visual and quantitative scales.