1 research outputs found
Correcting Multi-focus Images via Simple Standard Deviation for Image Fusion
Image fusion is one of the recent trends in image registration which is an
essential field of image processing. The basic principle of this paper is to
fuse multi-focus images using simple statistical standard deviation. Firstly,
the simple standard deviation for the k-by-k window inside each of the
multi-focus images was computed. The contribution in this paper came from 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
comparison between the standard deviation for each k-by-k window in the
multi-focus images could be computed. The highest standard deviation between
all the computed standard deviations for the multi-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 simplicity