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This paper introduces a discrete scheme for mean curvature motion using a morphological image processing approach. After brieey presenting an axiomatic approach of image processing and the mean curvature PDE, the properties of the proposed scheme are studied, in particular consistency and convergence are proved. The applications of mean curvature motion in(More)
In this paper, we propose a global method for estimating the motion of a camera which films a static scene. Our approach is direct, fast and robust, and deals with adjacent frames of a sequence. It is based on a quadratic approximation of the deformation between two images, in the case of a scene with constant depth in the camera coordinate system. This(More)
In this paper, we are interested in the application to video segmentation of the discrete shape optimization problem λJ(θ) + i (α − f i)θ i (1) incorporating a data f = (f i) and a total variation function J, and where the unknown θ = (θ i) with θ i ∈ {0, 1} is a binary function representing the region to be segmented and α a parameter. Based on the recent(More)
In this paper, we propose a novel example-based method for denoising and super-resolution of medical images. The objective is to estimate a high-resolution image from a single noisy low-resolution image, with the help of a given database of high and low-resolution image patch pairs. Denoising and super-resolution in this paper is performed on each image(More)