Weighted Nonlocal Total Variation in Image Processing

نویسندگان

  • Haohan Li
  • Zuoqiang Shi
  • Xiaoping Wang
چکیده

In this paper, a novel weighted nonlocal total variation (WNTV) method is proposed. Compared to the classical nonlocal total variation methods, our method modifies the energy functional to introduce a weight to balance between the labeled sets and unlabeled sets. With extensive numerical examples in semi-supervised clustering, image inpaiting and image colorization, we demonstrate that WNTV provides an effective and efficient method in many image processing and machine learning problems.

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عنوان ژورنال:
  • CoRR

دوره abs/1801.10441  شماره 

صفحات  -

تاریخ انتشار 2018