MATLAB Implementation of Image Encoding Using Arithmetic Coding

This program is designed for image encoding using arithmetic coding as its core methodology. Arithmetic coding serves as an efficient encoding technique that compresses image data for storage, significantly reducing space requirements. During the encoding process, the program implements arithmetic coding by converting pixel values into probability distributions and mapping them to binary bitstreams. The implementation likely involves calculating cumulative probability ranges for pixel values and recursively narrowing these ranges to generate compact binary representations. This encoding approach enhances image compression ratios while maintaining high-fidelity image quality through precise probability modeling. The program offers multiple configurable parameters, allowing users to adjust settings such as probability precision, block size handling, and entropy optimization according to specific requirements. Key functions may include probability distribution estimation, range calculation algorithms, and bitstream generation routines. Overall, this program represents a powerful and efficient image encoding tool that enables superior performance in image processing and storage applications. The MATLAB implementation likely utilizes matrix operations for efficient pixel processing and may include functions for handling different image formats and optimizing compression based on image characteristics.