Decomposition of Images by the Anisotropic Rudin-Osher-Fatemi Model
نویسندگان
چکیده
We introduce and study anisotropic versions of the total variation based noiseremoval model developed by Rudin, Osher, and Fatemi (ROF) in [4]. Recall that the goal of the original ROF model is to remove noise from a corrupted digital image without blurring object boundaries (i.e. “edges”). If the corrupted image is denoted f(x), one tries to recover the clean image as the minimizer of the following energy:
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