MATLAB-based Huffman Encoding and Decoding Program for Images and Sequences
Implementation of Huffman encoding and decoding algorithms for images and data sequences using MATLAB
Huffman Coding and Decoding
MATLAB-based source code implementation for Huffman encoding and decoding algorithms with comprehensive functionality.
Image Coding and Compression
Chapter on Image Coding and Compression: Fundamentals of Image Coding, Lossless Compression Coding including Run-Length Encoding, Huffman Coding, Arithmetic Coding, Dictionary Coding; Lossy Compression Coding covering Predictive Coding, Orthogonal Transform Coding; MATLAB Implementation of Cosine Transform Compression and Wavelet Transform Compression (Section 17.3.4)
MATLAB Simulation of Huffman Coding
MATLAB simulation program for Huffman coding with performance analysis, including implementation algorithms, key functions, and compression efficiency evaluation
Huffman Coding Techniques in Digital Image Processing
Huffman coding implementation for digital image processing. This program performs Huffman encoding on input images, displays the original image's entropy and average code length after encoding, and reconstructs images from the encoded data. Built using C++/MATLAB hybrid programming with pre-compiled MATLAB library files, requiring no additional C++ linking. Includes source code, original test images, and encoded result images.
Image Compression using Huffman Coding for Lossless Data Reduction
Implementing Huffman Coding in MATLAB for Lossless Image Compression with Pixel Frequency Analysis and Encoding Techniques
PCM Quantization and Huffman Encoding for Analog Signal Digitization
Digital conversion of analog signals through PCM quantization and Huffman encoding
MATLAB Implementation Guide for Communication Experiments: Huffman Coding
Communication Experiment Guide: MATLAB implementation of Huffman coding with complete source code and detailed documentation, including algorithm explanations and key function descriptions.
Image Huffman Encoding and Decoding
Implementation of Huffman encoding and decoding for images with detailed code descriptions, providing valuable learning resources for image compression algorithms