Topologically-Guided Color Image Enhancement

09/03/2019
by   Junyi Tu, et al.
0

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.

READ FULL TEXT

page 2

page 6

page 8

page 9

page 10

page 12

research
07/28/2021

Image color correction, enhancement, and editing

This thesis presents methods and approaches to image color correction, c...
research
08/04/2016

Recoding Color Transfer as a Color Homography

Color transfer is an image editing process that adjusts the colors of a ...
research
11/30/2021

SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing

Recently, large pretrained models (e.g., BERT, StyleGAN, CLIP) have show...
research
06/26/2019

Topology Maintained Structure Encoding

Deep learning has been used as a powerful tool for various tasks in comp...
research
11/28/2021

Image preprocessing and modified adaptive thresholding for improving OCR

In this paper I have proposed a method to find the major pixel intensity...
research
09/30/2022

Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping

Many image enhancement or editing operations, such as forward and invers...
research
02/05/2016

On Feature based Delaunay Triangulation for Palmprint Recognition

Authentication of individuals via palmprint based biometric system is be...

Please sign up or login with your details

Forgot password? Click here to reset