Correcting Multi-focus Images via Simple Standard Deviation for Image Fusion

Abstract

Abstract-Image fusion is one of the recent trends in image reg istration which is an essential field of image processing. The basic principle o f this paper is to fuse mu lti-focus images using simple statistical standard deviation. Firstly, the simp le standard deviation for the k×k window inside each of the mult i-focus images was computed. The contribution in this paper came fro m the idea that the focused part inside an image had high details rather than the unfocused part. Hence, the dispersion between pixels inside the focused part is higher than the dispersion inside the unfocused part. Secondly, a simple co mparison between the standard deviation for each k×k window in the mu lti-focus images could be co mputed. The highest standard deviation between all the co mputed standard deviations for the mult i-focus images could be treated as the optimal that is to be placed in the fused image. The experimental visual results show that the proposed method produces very satisfactory results in spite of its simp licity.