Computational Visual Media

, Volume 1, Issue 1, pp 27–35

Least-squares images for edge-preserving smoothing

  • Hui Wang
  • Junjie Cao
  • Xiuping Liu
  • Jianmin Wang
  • Tongrang Fan
  • Jianping Hu
Open Access
Research Article

DOI: 10.1007/s41095-015-0004-6

Cite this article as:
Wang, H., Cao, J., Liu, X. et al. Comp. Visual Media (2015) 1: 27. doi:10.1007/s41095-015-0004-6

Abstract

In this paper, we propose least-squares images (LS-images) as a basis for a novel edge-preserving image smoothing method. The LS-image requires the value of each pixel to be a convex linear combination of its neighbors, i.e., to have zero Laplacian, and to approximate the original image in a least-squares sense. The edge-preserving property inherits from the edge-aware weights for constructing the linear combination. Experimental results demonstrate that the proposed method achieves high quality results compared to previous state-of-the-art works. We also show diverse applications of LS-images, such as detail manipulation, edge enhancement, and clip-art JPEG artifact removal.

Keywords

feature-preserving image enhancement image smoothing least-squares images (LS-images) 

Copyright information

© The Author(s) 2015

Authors and Affiliations

  • Hui Wang
    • 1
  • Junjie Cao
    • 2
  • Xiuping Liu
    • 2
  • Jianmin Wang
    • 1
  • Tongrang Fan
    • 1
  • Jianping Hu
    • 3
  1. 1.School of Information Science and TechnologyShijiazhuang Tiedao UniversityShijiazhuangChina
  2. 2.School of Mathematical SciencesDalian University of TechnologyDalianChina
  3. 3.School of SciencesNortheast Dianli UniversityJilinChina

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