Implementation of Directional Filtering and Homomorphic Filtering for Images

In this documentation, we will develop a MATLAB-based graphical user interface (GUI) to implement directional filtering and homomorphic filtering for image processing. This tool offers practical functionality and user-friendly operation while delivering satisfactory processing results. The implementation includes core algorithms for directional filtering using gradient-based methods and homomorphic filtering that separates illumination and reflectance components through logarithmic transformation and frequency domain processing.

Beyond these primary functions, we can consider integrating additional image processing algorithms such as edge detection techniques (Sobel, Canny operators) and image enhancement methods (histogram equalization, contrast stretching) to expand the tool's capabilities. The code architecture allows for modular implementation where each filtering algorithm is encapsulated in separate functions with proper parameter handling.

Further optimizations can focus on improving computational efficiency through vectorized operations and preallocation techniques, ensuring faster processing speeds and stable performance. These enhancements aim to provide users with more processing options and an improved experience through an intuitive interface design and efficient algorithm implementation.