An Effective Method of Eliminating Ghosting in Image Mosaic

摘要

Image fusion method directly affects the stitching effect. If there are moving objects in the images, the same object may add together after fusion and cause ghosting. A fusion method which can effectively eliminate the exposure difference and ghosting is essential to image mosaic. The method of optimal seam can eliminate integrated ghosting. But the optimal seam may include individual error points and its overall strength value is the smallest. The line is taken as the optimal seam incorrectly. So the ghosting may still exist. In order to avoid the impact of error points an improved optimal seam based on feature point is used in this paper. The scale invariant feature transform and the random sample consensus are used to ensure the detected feature points are accurate. The improved optimal seam do not regard the original optimal seam regards the point with smallest guidelines value as extended direction this paper regards the feature point as the extended direction. The feature point's strength value should have an appropriate weight value. It makes the optimal seam contain more feature points. In this way it can avoid the error points and dynamic elements. Both sides of the optimal seam have exposure differences, an image fusion method should be taken to achieve smooth and natural mosaic. Poisson fusion method can achieve the synthesis of the fragment. So Poisson fusion is used to eliminate exposure difference in this paper.