Automatic occlusion removal from minimum number of images
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We examine the problem of combining several images to remove occlusions that occur in one or more of a sequence of images. A sequence of digital camera images of a photo-worthy landmark may be occluded by passers-by walking between the photographer and the scene. As they move they occludes different regions in each image of the sequence. It is obvious that if two or more images coincide at each location an unoccluded image can be formed. We show that this is not necessary: in fact so long as at least one image is unoccluded at each location an unoccluded image can be formed automatically. This greatly eases the conditions under which an unoccluded image can be formed. We detail the algorithm and show results of occlusion removal.
[1] Edward H. Adelson,et al. Representing moving images with layers , 1994, IEEE Trans. Image Process..
[2] Richard Szeliski,et al. Creating full view panoramic image mosaics and environment maps , 1997, SIGGRAPH.
[3] Anil C. Kokaram,et al. A Bayesian framework for recursive object removal in movie post-production , 2003, ICIP.
[4] Anil K. Jain. Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.