Explore MATLAB source code curated for "Contourlet变换" with clean implementations, documentation, and examples.
Image fusion algorithm based on NSCT (Non-Subsampled Contourlet Transform) and HSI (Hue, Saturation, Intensity) color space, utilizing non-subsampled Contourlet decomposition and HSI-based fusion techniques for enhanced visual quality.
Implementation of digital watermarking on images transformed using Contourlet decomposition with multi-resolution and directional representation capabilities
Implementation of image denoising through contourlet transforms, wavelet transforms, and similar approaches, featuring fully functional code after debugging with excellent performance results
MATLAB-based implementation of Contourlet transform applied to image zooming and interpolation, demonstrating multi-scale directional decomposition for enhanced image quality.
MATLAB official website provides contourlet transform source code for image fusion technology, demonstrating superior performance compared to wavelet-based fusion methods. The implementation includes multi-directional filter banks and pyramidal decomposition for enhanced directional representation.
Comprehensive MATLAB source code implementing the contourlet transform and its associated utility functions for advanced image processing applications. This implementation follows the algorithm described in the seminal paper "The Contourlet Transform: An Efficient Directional Multiresolution Image Representation" included in the package, featuring directional filter banks and multiscale decomposition capabilities.
A comprehensive Contourlet transform toolkit for image feature extraction supporting customizable decomposition levels - for instance, three-level decomposition extracts 17-dimensional feature vectors suitable for texture analysis and SAR image segmentation applications.
A comprehensive MATLAB image enhancement toolkit featuring wavelet-based enhancement, Contourlet transform techniques, Laplacian pyramid methods, and detailed documentation with code explanations
The Nonsubsampled Contourlet Transform (NSCT) is an advanced multi-scale geometric analysis approach that effectively characterizes linear singularity features in signals through multi-directional filter banks, enabling comprehensive signal decomposition across scales and orientations.
Implementation source code for Contourlet transform. Theoretical reference: Do M.N., Vetterli M. "The contourlet transform: an efficient directional multiresolution image representation" [J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106. The code provides a complete implementation of directional multiresolution decomposition using pyramid filters and directional filter banks for capturing image contours and textures efficiently.