Underwater-image-color-enhancement-with-PSO-python-implementation

Implemented the research paper, Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm in python language.

The Four steps strategy followed in NUCE method:

• Superior based underwater color cast neutralization
• Dual-intensity images fusion based on average of mean and median values
• Swarm-intelligence based mean equalization
• Unsharp masking

Image credits: paper

User Guide

• Clone this repository

$ git clone https://github.com/prashamsatalla/Underwater-image-color-enhancement-with-PSO-python-implementation.git
$ cd Underwater-image-color-enhancement-with-PSO-python-implementation

• Collect input images in images folder, then the enhanced output image will be saved in results folder with respective input image name.
• Install required packages

$ pip install -r requirements.txt

• Run main.py .

$ python main.py

Code Result:

Dependencies

• OpenCV 3.4.8
• NumPy
• Matplotlib