A tool to enhance your old/damaged pictures built using python & opencv.

Overview

Breathe Life into your Old Pictures

Screenshot from 2021-11-20 11-28-47

Table of Contents
  1. About The Project
  2. Getting Started
  3. Contact
  4. Acknowledgments

About The Project

This is a tool to enhance your old/damaged pictures built using python & opencv. At the moment, the tool contains the following modules:

  • Image Colorization: Passes your image through a pretrained CNN that colorizes the image ( it can even colorize colored images!).
  • Image Inpainting: Use the tool to draw over damaged parts of image & it will use Fast Marching Method to heal those regions.
  • Image Denoising: Remove the noise in your image with openCV's fastNlMeansDenoising() method.
  • Histogram Equalization: Poor contrast in your image? Don't worry, we've got you covered!
  • Contrast Limited Histogram Equalization: Histogram Equalization not working out for you? Try this!
  • Image Super-Resolution: Want to be able to display your images on a large screen? We've got you covered !

Getting Started

Prerequisites

Use pip to install the dependencies:

pip install -r requirements.txt

You can also use the hosted version

https://share.streamlit.io/hello-fri-end/breathe-life-into-your-old-pictures/streamlit-app.py

Usage

Once the dependencies have been installed, use the folowing command to deploy the app locally:

bash
streamlit run streamlit-app.py

Contact

Anwaar Khalid- LinkedIn

Acknowledgments

Owner
Shah Anwaar Khalid
Hello world :)
Shah Anwaar Khalid
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