Topologically-Guided Color Image Enhancement

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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.

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APA

Tu, J., & Rosen, P. (2019). Topologically-Guided Color Image Enhancement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11845 LNCS, pp. 270–282). Springer. https://doi.org/10.1007/978-3-030-33723-0_22

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