Explore MATLAB source code curated for "块匹配算法" with clean implementations, documentation, and examples.
Comprehensive comparison of seven motion estimation block matching algorithms implemented in MATLAB, featuring highly detailed source code with thorough explanations of implementation approaches and algorithmic characteristics to assist developers and researchers.
Implementation of EBMA (Exhaustive Block Matching Algorithm) based motion estimation in MATLAB with functional code that produces valid results.
Implement target tracking with block matching algorithm to display movement direction of moving objects and generate motion vector plots
Motion estimation block matching algorithm suitable for various video coding formats with implementation approaches and key function descriptions
To reduce the computational complexity of motion estimation algorithms and enhance the reliability of sequential image super-resolution reconstruction, we propose an effective three-step search algorithm. This algorithm employs a multi-step search strategy that leverages the center-biased distribution characteristics of motion vectors and parallel processing principles. It replaces conventional square templates with diamond-shaped small templates for refined searching in optimal matching regions, thereby improving search accuracy. Implementation involves coarse-to-fine hierarchical searching with adaptive pattern switching. Experimental results demonstrate significant reduction in computational time while maintaining high search precision.
This program implements the diamond search method, a fast search strategy for block matching algorithms that uses a diamond-shaped pattern to efficiently locate target regions in digital image processing.
Motion Estimation with Block Matching Algorithm - Implementation and Optimization Techniques
A Feature Block Matching Algorithm for Fast Video Stabilization