Application of Backward Stochastic Differential Equations to Reconstruction of Vector-Valued Images
In this paper we explore the problem of reconstruction of vector-valued images with additive Gaussian noise. In order to solve this problem we use backward stochastic differential equations. Our numerical experiments show that the new approach gives very good results and compares favourably with deterministic partial differential equation methods.
KeywordsWiener Process Noisy Image Image Quality Assessment Additive Gaussian Noise IEEE Signal Processing Magazine
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