Topologically-Guided Color Image Enhancement
Graphics
2019-09-05 v1 Computational Geometry
Computer Vision and Pattern Recognition
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.
Cite
@article{arxiv.1909.01456,
title = {Topologically-Guided Color Image Enhancement},
author = {Junyi Tu and Paul Rosen},
journal= {arXiv preprint arXiv:1909.01456},
year = {2019}
}