Compression Ratio Calculation Function for Evaluating Image Size Ratio Before and After Compression

This MATLAB compression ratio calculation function is designed to compute the size ratio between original and compressed images. The function provides an efficient way to evaluate compression algorithm performance by quantitatively measuring the size reduction achieved through compression techniques. Key implementation features include: - Automatic calculation of file size differences between original and compressed images - Ratio output in percentage or decimal format for flexible analysis - Support for various image formats (JPEG, PNG, BMP) through MATLAB's imread and imwrite functions - Memory-efficient processing suitable for batch operations on multiple images The function enables researchers and practitioners to: - Compare different compression algorithms objectively - Assess compression efficiency in image processing applications - Generate quantitative metrics for algorithm optimization - Validate compression performance in both research and practical implementations Typical usage involves loading original and compressed images, then calling the function to obtain the compression ratio. The result helps determine the trade-off between size reduction and quality preservation, which is crucial for selecting appropriate compression methods in various applications. This utility is particularly valuable for image processing research, compression algorithm development, and practical implementations where quantitative compression evaluation is required. The function returns precise metrics that facilitate informed decisions about compression strategy selection and optimization.