Image Sharpening with 5 Distinct Gradient Enhancement Methods

Implementation of 5 gradient-based enhancement techniques for image sharpening, high-pass filtering with mask processing, noise reduction using Butterworth low-pass filters, and image sharpening through Butterworth high-pass filters. Includes practical code implementations for each method.

MATLAB Implementation of Speech Filtering with Frequency Domain Analysis

This MATLAB program implements speech filtering functionality, capable of computing and displaying amplitude-frequency characteristics of speech signals, magnitude and phase responses of Butterworth low-pass filters, frequency domain characteristics after noise introduction, and DFT amplitude-frequency characteristics after filtering. The implementation includes audio files for testing and demonstrates key signal processing operations including FFT analysis, filter design using butter() function, and frequency domain visualization techniques.