Image Smoothing Via L0 Gradient Minimization

Authors

  • Sonali Dayal  M.Tech Scholar, Department of Computer Science, NVPEMI, Kanpur, Uttar Pradesh, India

Keywords:

L0 Smoothing, Edge Enhancement, Extraction Image Abstraction, Layer-Based Contrast Manipulation Edge Adjustment, Detail Magnification, Tone Mapping

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-07-30

Issue

Volume 3, Issue 6, July-August-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sonali Dayal, " Image Smoothing Via L0 Gradient Minimization" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.53-60, July-August-2018.