🆄🅽🅳🅴🆁 🆆🅰🆃🅴🆁 🅸🅼🅰🅶🅴 🅴🅽🅰🅽🅲🅴🅼🅴🅽🆃 🅰🅽🅳🅳 🆁🅴🆂🆃🅾🆁🅰🆃🅸🅾🅽 : 🆁🅴🅴🅵 🅲🅻🅰🆂🆂🅸🅵🅸🅲🅰🆃🅸🅾🅽

The main objective of the Project is to reduce the noises in the Underwater Images. We propose some methods for efficient removal of Noises using Image Processing Techniques. The Underwater images have low quality which makes it a difficult process to analyze the images. Here we propose Image Enhancement and Image Restoration process for increasing the quality of Underwater Images. Clahe, Reyleigh distribution, DCP and MIP,RGHS,ULAP methods are used in this project.

IMAGE ENHANCEMENT

• CLAHE - CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION
• RAYLEIGH DISTRIBUTION
• RGHS - Relative Global Histogram Stretching

IMAGE RESTORATION

• DCP - DARK CHANNEL PRIOR
• MIP - MAXIMUM INTENSITY PROJECTION
• ULAP - Underwater Light Attenuation Prior

🅿🆁🅴 🆁🅴🆀🆄🅴🆂🆃🅸🅴🆂

Environment Setup

• python 3.8.6 64bit
• install dependencies $ pip install -r requirements.txt
• download models from here, place it in models folder/UWIE/CLASSIFY/models/

Dataset

• Pocillopora
• Acropora
• Turf

Download DataSet from here

🅷🅾🆆🆆 🆃🅾 🆁🆄🅽

$ py manage.py runserver

Demo project hosted on heroku link