Topologically-Guided Color Image Enhancement

TL;DR

This paper introduces a novel image enhancement method that utilizes the contour tree to incorporate topological information, enabling more structure-aware editing of images, especially in color and grayscale formats.

Contribution

The paper presents four topology-aware transfer functions that leverage local topological properties for image editing, a new approach compared to traditional region-based techniques.

Findings

Effective enhancement of grayscale and color images

Improved preservation of topological features during editing

Demonstrated advantages over traditional methods

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.