Sparse Norm Filtering

17 May 2013 Chengxi Ye DaCheng Tao Mingli Song David W. Jacobs Min Wu

Optimization-based filtering smoothes an image by minimizing a fidelity function and simultaneously preserves edges by exploiting a sparse norm penalty over gradients. It has obtained promising performance in practical problems, such as detail manipulation, HDR compression and deblurring, and thus has received increasing attentions in fields of graphics, computer vision and image processing... (read more)

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