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An image model based on occluding object images and maximum entropy

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2 Author(s)
Stuller, J.A. ; Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO, USA ; Shah, R.

This paper introduces a statistical image model based on occlusion and maximum entropy. The statistical model combines a fundamental property of image formation, occlusion, with both object-image shape and nonuniform object-image intensity. The model is a composition of individual object-images that have random positions, shapes, and intensities, and that occlude both background and one another. We derive the autocorrelation and second-order probability density functions of this model and give several examples

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Image Processing, IEEE Transactions on  (Volume:7 ,  Issue: 9 )