articleACM Transactions on GraphicsNov 30, 2011Closed access

Image smoothing via L 0 gradient minimization

Chinese University of Hong Kong

Indexed incrossref

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 L 0 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…

Citation impact

774
total citations
FWCI
21.19
Percentile
100%
References
42
Citations per year

Authors

4

Topics & keywords

Keywords
  • Smoothing
  • Sharpening
  • Minification
  • Computer science
  • Image (mathematics)
  • Artifact (error)
  • Enhanced Data Rates for GSM Evolution
  • Image editing
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