Image smoothing via L0 gradient minimization

  • Xu L
  • Lu C
  • Xu Y
 et al. 
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Abstract

We present a new image editing method, particularly effective for sharpening major edges by increasing the steepness of transition while eliminating a manageable degree of low-amplitude structures. The seemingly contradictive effect is achieved in an optimization framework making use of L0 gradient minimization, which can globally control how many non-zero gradients are resulted in to approximate prominent structure in a sparsity-control manner. Unlike other edge-preserving smoothing approaches, our method does not depend on local features, but instead globally locates important edges. It, as a fundamental tool, finds many applications and is particularly beneficial to edge extraction, clip-art JPEG artifact removal, and non-photorealistic effect generation.

Author-supplied keywords

  • L0 sparsity
  • filterin
  • filtering
  • image smoothing
  • l 0 sparsity
  • sharpening

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Authors

  • Li Xu

  • Cewu Lu

  • Yi Xu

  • Jiaya Jia

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