Skip to content

README.md

Latest commit

 

History

History
96 lines (68 loc) · 2.54 KB

README.md

File metadata and controls

96 lines (68 loc) · 2.54 KB

Image Processing Web Application

🚀 Overview

1

This web application offers advanced image processing tasks including:

  1. Pix2Pix Image Transformation
  2. Pan-Sharpening
  3. Histogram Specification

It provides a user-friendly interface built with React for the frontend and a robust backend powered by Flask. Users can securely interact with these features via JWT-based authentication, and data is stored using MongoDB.

🛠 Features

  • Pix2Pix Transformation: Transform satellite images into maps using AI-based image-to-image translation.
  • Pan-Sharpening: Enhance spatial resolution of satellite images.
  • Histogram Specification: Match the histogram of one image to another for contrast enhancement.
  • User Authentication: Secure login and signup using JWT.
  • Interactive UI: Responsive React-based interface.
  • Dockerized: Simplified deployment with Docker.

📁 Project Structure

directory

🛠 Prerequisites

  • Node.js (v16+)
  • Python (v3.8+)
  • MongoDB (Local or Atlas)
  • Docker (Optional for deployment)

🔧 Installation & Setup

1. Clone the Repository

make git clone cd image_processing_app

2. Setup Backend

cd backend python -m venv venv source venv/bin/activate # For Windows: venv\Scripts\activate pip install -r requirements.txt python app.py

3. Setup Frontend

cd frontend npm install npm start

🌐 Usage

Open the application at http://localhost:3000. Sign up or log in. Choose a processing task (Pix2Pix, Pan-Sharpening, Histogram Specification). Upload images and view the processed results.

🐳 Docker Deployment

  1. Build and Start Containers docker-compose build docker-compose up
  2. Access Application Frontend: http://localhost:3000 Backend API: http://localhost:5000

📂 API Endpoints

Authentication POST /auth/signup - Create a new user. POST /auth/login - Log in and receive a JWT token. Image Processing POST /pix2pix - Process an image using Pix2Pix. POST /pansharpening - Perform pan-sharpening on uploaded images. POST /histogram - Match histogram between images.

🛠 Technologies Used

Frontend: React, Axios Backend: Flask, PyMongo Database: MongoDB Authentication: JWT Image Processing: OpenCV, TensorFlow, PyWavelets Deployment: Docker, Docker Compose

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.