Explore MATLAB source code curated for "视频编码" with clean implementations, documentation, and examples.
MATLAB-based compressed sensing video coding program implementing latest DCVS theoretical algorithms. Utilizes BWHT (Walsh-Hadamard Matrix) for sparse representation and GPSR algorithm for reconstruction with optimized signal recovery performance.
Performing Gaussian background analysis on image sequences to remove background and noise, with reference to the paper "Automatic Temporal Segmentation for Content-Based Video Coding." Includes implementation details for background modeling and foreground extraction.
This repository contains MATLAB source code for video encoding and compression, featuring practical implementations of various video processing algorithms. The codebase includes functions for handling different video formats and applying compression techniques.
Comprehensive guide to different motion estimation search algorithms with code implementation insights
Implementation of motion vector computation for video blocks with efficient four-step search method for motion estimation in video encoding
A comprehensive guide to AVS intra prediction algorithms, covering core prediction modes, MATLAB implementation approaches, and spatial redundancy reduction techniques for video encoding standards.
A MATLAB implementation of compressed sensing video coding utilizing DCVS theory, BWHT sparse basis, and GPSR reconstruction algorithm for high-quality video compression at sub-Nyquist sampling rates
Implementing motion vector estimation using the Hierarchical Block Matching Algorithm (HBMA) with optimized search strategy
A comprehensive exploration of the Three-Step Search (TSS) algorithm for motion estimation with code implementation insights