Image Compressor

A Python project for image compression using PCA and KMeans clustering, featuring a Streamlit web UI.

Features

• Compress images using Principal Component Analysis (PCA)
• Compress images using KMeans clustering
• Easy-to-use Streamlit interface
• Organized code in separate folders for each method

Getting Started

1. Clone the repository:

   git clone https://github.com/roshan-acharya/Image-Compressor.git
   cd Image-Compressor

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Streamlit app:

   cd KMeans
   streamlit run app.py

   cd PCA
   streamlit run app.py

Usage

• Upload an image via the Streamlit UI.
• Choose between PCA or KMeans compression.
• Adjust parameters and download the compressed image.

Links

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Author: Roshan Acharya
License: MIT