Converting MNIST Data Files to BMP Images and TXT Files

This program provides a MATLAB implementation for converting MNIST dataset files into BMP image files and corresponding TXT text files. The code is designed with simplicity and user-friendliness in mind, containing detailed inline comments that explain each processing step and facilitate understanding of the conversion methodology. The implementation follows a structured approach: first reading the original MNIST binary files using proper byte-order handling, then extracting image data and labels while maintaining the original 28x28 pixel dimensions. The algorithm converts the pixel values into proper image format specifications before writing them as BMP files using MATLAB's image processing functions. Simultaneously, it generates TXT files containing the corresponding label information and optional metadata. Key functions include automated batch processing capabilities, error handling for file validation, and configurable output parameters. The program has undergone rigorous testing to ensure conversion accuracy and data integrity preservation. Whether you're a beginner exploring machine learning datasets or an experienced researcher conducting experiments, this utility offers a reliable solution for MNIST data conversion. The program's robust functionality and straightforward implementation make it ideal for scientific research, machine learning projects, and educational purposes. We encourage you to experience the convenience and efficiency this tool brings to your data preprocessing workflow.