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Image Smoothing Via L0 Gradient Minimization

Author

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  • Sonali Dayal

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,clipart JPEG artifact removal,and non-photorealistic effect generation.

Suggested Citation

  • Sonali Dayal, 2018. "Image Smoothing Via L0 Gradient Minimization," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(6), pages 53-60, July.
  • Handle: RePEc:jbh:ijsrcs:v3:y2018:i6:id:hcseit183614
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    JEL classification:

    • L0 - Industrial Organization - - General

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