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Topologically-Guided Color Image Enhancement

  • Junyi Tu
  • Paul RosenEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11845)

Abstract

Enhancement is an important step in post-processing digital images for personal use, in medical imaging, and for object recognition. Most existing manual techniques rely on region selection, similarity, and/or thresholding for editing, never really considering the topological structure of the image. In this paper, we leverage the contour tree to extract a hierarchical representation of the topology of an image. We propose 4 topology-aware transfer functions for editing features of the image using local topological properties, instead of global image properties. Finally, we evaluate our approach with grayscale and color images.

Keywords

Image editing Topological Data Analysis Contour tree 

Notes

Acknowledgments

This project was supported in part by the National Science Foundation (IIS-1513616 and IIS-1845204).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of South FloridaTampaUSA

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