Explore MATLAB source code curated for "边缘信息" with clean implementations, documentation, and examples.
An innovative image interpolation algorithm based on bicubic interpolation that effectively preserves edge information while improving image clarity and detail resolution through advanced pixel value estimation techniques.
This program implements infrared and visible image registration by utilizing edge information for image matching, performing edge detection to identify closed contours, and using chain code representation for precise image alignment.
This program implements image enhancement through a fuzzy enhancement algorithm, significantly improving edge information visibility and optimizing high-frequency information processing for superior image quality and detail preservation.
MATLAB source code implementing level set method with edge information integration for image segmentation
This program implements a Total Variation (TV) denoising algorithm with PDF-based corrections to address minor issues in the standard TV approach. The algorithm effectively removes noise while preserving edge information in the original image. The implementation demonstrates how gradient-based minimization and edge-preserving regularization can be combined for improved image restoration, with key functions handling noise reduction through iterative optimization.
A self-developed error concealment source code for H.264 video decoding that demonstrates superior edge preservation capabilities despite slightly lower PSNR compared to JM86 reference software. The implementation includes advanced algorithms for handling common error patterns, with potential for community-driven improvements in error concealment research.