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Image fusion is one of the recent trends in image registration which is anessential field of image processing. The basic principle of this paper is tofuse multi-focus images using simple statistical standard deviation. Firstly,the simple standard deviation for the k-by-k window inside each of themulti-focus images was computed. The contribution in this paper came from theidea that the focused part inside an image had high details rather than theunfocused part. Hence, the dispersion between pixels inside the focused part ishigher than the dispersion inside the unfocused part. Secondly, a simplecomparison between the standard deviation for each k-by-k window in themulti-focus images could be computed. The highest standard deviation betweenall the computed standard deviations for the multi-focus images could betreated as the optimal that is to be placed in the fused image. Theexperimental visual results show that the proposed method produces verysatisfactory results in spite of its simplicity.

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