Face Mosaic Image Processing Algorithm

Resource Overview

A MATLAB-based face mosaic image processing algorithm developed during summer internship, with detailed algorithm explanations included in attachments. The implementation demonstrates practical application of digital image processing techniques for facial anonymization.

Detailed Documentation

This is a summer internship project developed using MATLAB, focusing on face mosaic image processing algorithm implementation. The project includes detailed algorithm explanations in the attachments. The algorithm processes facial images by applying mosaic effects to achieve pixelation for privacy protection or artistic purposes. During implementation, we employed various image processing techniques including: - Face detection using Viola-Jones algorithm or similar methods - Region-of-interest (ROI) identification and segmentation - Block-based pixel averaging for mosaic effect generation - Color space conversion and manipulation - Image filtering and interpolation techniques The implementation likely utilizes MATLAB's Image Processing Toolbox functions such as imread(), imresize(), blockproc(), and various morphological operations. The project provided hands-on experience in digital image processing concepts, enhanced programming skills in MATLAB, and improved problem-solving abilities in algorithmic implementation.