Underwater-Image-Super-Resolution-using-GANs

Transforming Underwater Vision with Unmatched Clarity 🌊✨

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🛠 Built with the Tools and Technologies

• Flask
• NumPy
• Python

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📑 Table of Contents

• Overview
• Why This Project?
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Testing
• License

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📌 Overview

Underwater-Image-Super-Resolution-using-GANs is a comprehensive developer tool leveraging GAN-based models and AI APIs to enhance underwater images, improving clarity and detail for analysis or display.
It combines deep learning, web-based interaction, and quality evaluation to streamline underwater image processing.

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💡 Why This Project?

This project aims to deliver high-quality underwater image enhancement with reliability and ease of use.

Core Features:

• 🧪 AI-Driven Enhancement: Utilizes an external AI API for superior image quality, with a fallback to OpenCV-based contrast enhancement to ensure robustness.
• 🌐 Interactive Web Interface: Upload images, view results side-by-side, and compare quality metrics in real-time.
• 📊 Quantitative Metrics: Calculates PSNR, SSIM, and UIQM to objectively evaluate improvements.
• 🔧 Seamless Integration: Combines enhancement, metric computation, and frontend rendering for a smooth user experience.
• 🚀 Open-Source & Extensible: Easy to set up with clear dependencies, supporting further customization and development.

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🚀 Getting Started

📋 Prerequisites

Make sure you have the following installed:

• Python (3.8+ recommended)
• Pip (Python package manager)

⚙️ Installation

1. Clone the repository

   git clone https://github.com/SamyukthaaAnand/Underwater-Image-Super-Resolution-using-GANs

2. Navigate to the project directory

   cd Underwater-Image-Super-Resolution-using-GANs

3. Install the dependencies

   pip install -r requirements.txt

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▶️ Usage

Run the project using:

python app.py