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High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

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A Robust 3D-Based Color Correction Approach for Texture Mapping Applications.

Daniel Coelho^1,2, Lucas Dal'Col^1,2, Tiago Madeira²

¹Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.

Sensors (Basel, Switzerland)

|March 10, 2022

Summary

This summary is machine-generated.

This study introduces a new color correction method to eliminate texture seams in 3D models. By using 3D data, the approach significantly improves the visual quality of textured meshes.

Keywords:

color correction color mapping function joint image histogram texture mapping

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Area of Science:

Computer Vision
Computer Graphics
Image Processing

Background:

Texture mapping 3D models with multiple images often creates visual artifacts called texture seams.
The visibility of these seams depends on color similarity between source images.

Purpose of the Study:

To eliminate texture seams in textured 3D models by correcting image colors.
To enhance the visual quality of 3D textured meshes.

Main Methods:

A pairwise color correction methodology for multiple images from the same scene.
Utilizing 3D scene information (meshes, point clouds) for robust spatial image registration and filtering.
A texture mapping pipeline integrating uncorrected images, untextured meshes, and point clouds.

Main Results:

The proposed approach significantly outperforms four other color correction methods.
Achieved superior qualitative and quantitative results in eliminating texture seams.
Demonstrated enhanced visual quality of textured 3D models.

Conclusions:

The developed color correction technique effectively removes texture seams.
The integration of 3D data improves the robustness and accuracy of the color correction process.
The pipeline successfully produces high-quality textured meshes and corrected images.