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Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging"

Python 80.80% MATLAB 19.20%

single-underwater-image-enhancement-and-color-restoration's Introduction

Underwater-Image-Enhancement

This is a python implementation of some underwater image enhancement algorithms, including CLAHE, MSRCR CLAHE_mix and my proposed method——MSRCR+CLAHE.

Requirements

  • OpenCV
  • Numpy
  • matplotlib
  • natsort

Run

Before running, you should set the path to get your input images and save the output images in the main.py file. Espacially, you should check the output path is exist or not. Then, you can run the main.py file to get the results. You can check the parameters by

python main.py --help

The only parameters is the name of the algorithm to use. For example, if you want to use MSRCR+CLAHE, you can run

python main.py MSRCR_CLAHE

Results

method origin CLAHE CLAHE_mix MSRCR MSRCR_CLAHE
UIQM avg 2.534 2.750 2.659 2.890 2.938

UIQM for method mentioned before

<style> .grid-container { display: grid; grid-template-columns: repeat(4, 1fr); gap: 10px; } .grid-item { position: relative; overflow: hidden; } .grid-item img { width: 100%; height: auto; display: block; } </style>
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MSRCR+CLAHE

single-underwater-image-enhancement-and-color-restoration's People

Contributors

wangyanckxx avatar zdjeffrey avatar

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