C++ implementation of underwater image and video enhancement using OpenCV 3.2.

• Modules list
• Requirements
• Getting Started
• Software details
• Contributing
• License
• Author
• Constributors

• Color Correction

Color correction module using White World Assumption

• Contrast Enhancement

Contrast enhancement module using Histogram Stretching and Equalization using Rayleigh distribution

• Dehazing

Dehazing module using Bright Channel Prior

• Illumination

Illumination correction module using a Homomorphic High-pass Filter

• Fusion

Image fusion module using a Multiscale approach

• Video Enhancement

Video enhancement module

• Evaluation Metrics

Image quality metrics module (Contrast, Entropy, Features, etc)

The current release has been developed and tested in Windows 10 64 bits

• OpenCV 3.2 and extra modules (OpenCV contrib 3.2).
• CMAKE 2.8

To start using this project, proceed to the standard clone procedure:

git clone https://github.com/Robotics-Technology/Underwater-Processing.git

• Implementation done in C++.

Summary of contributing guidelines:

• One pull request per issue;
• Choose the right base branch;
• Include tests and documentation;
• Use small datasets for testing purposes;
• Follow always the same coding style guide. If possible, apply code formating with any IDE.

Underwater-Image-Processing is a free and open source software licensed under the GNU GPLv3.0 License, unless otherwise specified in particular modules or libraries (see LICENSE and README.md).

Copyright (c) 2017-2018 Grupo de Investigación y Desarrollo en Mecatrónica ([email protected]).

• Geraldine Barreto - geraldinebc

• José Cappelletto - cappelletto