Custom Median and Mean Filter Source Code Implementation

Resource Overview

Recently developed custom source code for median and mean filtering algorithms, now sharing with the community for educational and practical applications.

Detailed Documentation

I have recently developed custom source code implementations for both median filtering and mean filtering algorithms, which I would like to share with the community. Median filtering is a fundamental image processing technique that effectively removes noise from images by replacing each pixel's value with the median value of its neighboring pixels, resulting in cleaner and more visually appealing images while preserving edges better than linear filters. Mean filtering, another essential image processing method, smooths images by averaging pixel values within a defined neighborhood kernel, creating more uniform texture details and reducing high-frequency noise. The implementation includes optimized algorithms for efficient sliding window operations and boundary handling. I hope that sharing these source codes will benefit individuals interested in digital image processing, and I encourage collaborative discussions and knowledge exchange within the technical community to further enhance these implementations.