Simple Spectral Analysis of Images

The program implements fundamental spectral analysis capabilities to generate image frequency spectrum diagrams. Key technical implementations include two-dimensional FFT algorithms for converting spatial domain image data to frequency domain representations, with customizable visualization parameters for amplitude and phase spectrum display. Additional functionality incorporates advanced algorithms and filter options such as Gaussian high-pass/low-pass filters and Butterworth filters, enabling more precise spectral analysis results. The system supports multiple image file formats (JPEG, PNG, GIF) through integrated image I/O libraries, enhancing application versatility. Extended image processing features include histogram equalization for brightness adjustment, gamma correction for contrast enhancement, and color space transformations (RGB to HSV/YCbCr) for color correction. These capabilities employ matrix operations and pixel-level processing algorithms to meet diverse image manipulation requirements. Overall, the program not only performs core spectral analysis with spectrum diagram generation but also provides comprehensive image processing toolkits through modular function design, catering to extended user requirements in digital image analysis.