Applications of nonlinear diffusion in image processing and computer vision
Abstract
Abstract. Nonlinear diffusion processes can be found in many recent methods for image processing andcomputer vision. In this article, four applications are surveyed: nonlinear diffusion filtering, variational image regularization, optic flow estimation, andgeodesic active contours. For each of these techniques we explain the main ideas, discuss theoretical properties and present an appropriate numerical scheme. The numerical schemes are based on additive operator splittings (AOS). In contrast to traditional multiplicative splittings such as ADI, LOD or D’yakonov splittings, all axes are treated in the same manner, and additional possibilities for efficient realizations on parallel anddistributedarchitectures appear. Geodesic active contours leadto equations that resemble mean curvature motion. For this application, a novel AOS scheme is presentedthat uses harmonic averaging and does not require reinitializations of the distance function in each iteration step. Its accuracy is evaluatedin case of mean curvature motion. 1.
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