Region-Based Image Compression Using Image Segmentation

Overview

This project implements a region-based image compression system utilizing image segmentation techniques such as thresholding and Canny edge detection. The primary aim is to enhance image compression by preserving high-quality details in specified Regions of Interest (ROI), while applying greater compression to less important areas, thus optimizing storage and bandwidth.

Features

• Segmentation Techniques: Implements thresholding and Canny edge detection to accurately identify ROIs in images.
• Compression Methods: Utilizes JPEG (Discrete Cosine Transform) and wavelet-based compression algorithms to achieve efficient data storage and preservation of critical image details.
• Applications: Suitable for use cases such as medical imaging, satellite imagery, surveillance systems, and more.

Technologies Used

• MATLAB: For image processing, segmentation, and compression.
• Image Segmentation Techniques: Thresholding, Canny edge detection.
• Compression Algorithms: JPEG (Discrete Cosine Transform) and wavelet transform based compression.