Moiré Pattern Image Processing

This example demonstrates a MATLAB-developed program for processing Moiré pattern images. The implementation utilizes various image processing techniques and algorithms to reduce or eliminate Moiré pattern artifacts. Key functions include Fourier transform-based frequency analysis for pattern identification and spatial filtering methods for noise reduction. The program incorporates image enhancement algorithms such as Wiener filtering and wavelet decomposition to handle periodic interference patterns. Through this practical example, users can better understand the formation principles of Moiré patterns and learn how to apply image processing tools effectively. The implementation serves as an excellent educational resource, providing insights into both fundamental image processing concepts and specific techniques for addressing Moiré pattern challenges. Code structure includes modular functions for preprocessing, pattern analysis, and post-processing stages, allowing for customizable parameter adjustments and algorithm testing.