MATLAB Implementation of Arithmetic Coding with Performance Metrics
Implementation of arithmetic coding in MATLAB with calculations for average code length, entropy, and coding efficiency metrics
MATLAB Implementation of Arithmetic Coding for Image Compression Algorithms
Implementation of image compression algorithms using MATLAB, including complete source code for various compression techniques such as Huffman coding, arithmetic coding, DCT transformation, wavelet transforms, and more. The codebase provides practical implementations with detailed comments and algorithm explanations.
Arithmetic Coding Implementation in MATLAB
Implementation of Arithmetic Coding Algorithm for Data Compression in MATLAB with Code Examples
MATLAB Implementation of Image Encoding Using Arithmetic Coding
This program performs image encoding primarily based on arithmetic coding principles, featuring configurable parameters for optimal compression performance.
MATLAB Simulation of Arithmetic Coding
A comprehensive MATLAB simulation program for arithmetic coding with detailed implementation analysis.
MATLAB Implementation of Arithmetic Coding with Compression and Decompression
Implementation of arithmetic coding in MATLAB featuring complete data compression and decompression workflow with probability modeling and interval calculations
Explanation of the SPIHT Algorithm Principle with Implementation
This code demonstrates the core principles of the SPIHT (Set Partitioning in Hierarchical Trees) algorithm for image compression. The implementation excludes Arithmetic Coding for simplicity and currently supports only 128x128 pixel images—generalization for arbitrary image sizes requires additional modifications.
Arithmetic Coding Program Design and Practical Examples
Arithmetic coding program design and specific examples, ideal for beginners to master MATLAB-based arithmetic coding implementation with source code demonstrations
Hyperspectral Image Compression Method Using Linear Prediction and Arithmetic Coding
A hyperspectral image compression technique based on linear prediction and arithmetic coding, implementing efficient data reduction through predictive residual encoding and entropy compression algorithms. The method employs linear regression for spatial-spectral correlation modeling and adaptive arithmetic coding for optimal bit allocation.
Arithmetic Coding, Entropy Coding, and Huffman Coding
MATLAB Implementation of Arithmetic Coding, Entropy Coding, and Huffman Coding with Algorithm Explanations