Explore MATLAB source code curated for "curvelet变换" with clean implementations, documentation, and examples.
Implementation of a curvelet transform-based Bayesian estimation approach for accurate noise parameter estimation in noisy images, followed by effective denoising processing using multi-scale and directional decomposition techniques.
MATLAB implementation of image dehazing algorithm employing Curvelet transform and Gaussian inverse filtering techniques, including performance visualization results
MATLAB implementation for image fusion combining curvelet transform with genetic algorithm optimization
The latest Curvelet Transform toolkit includes all forms of Fast Discrete Curvelet Transforms (FDCT) - featuring USFFT-based, wrapping-based, and 3D FDCT implementations. This powerful toolkit serves as an excellent resource for learning curvelet transformations through practical code examples.
Implementation of Curvelet Transform for Image Denoising with MATLAB 7.0 Program
Implementing curvelet transform on an image, visualizing its coefficient distribution, performing threshold-based reconstruction, and displaying the reconstructed image with MATLAB code implementation details.
The Curvelet transform is a novel multi-scale transformation developed from wavelet transform foundations. Its structural elements incorporate scale and position parameters, with the addition of orientation parameters that provide superior directional characteristics compared to wavelets. This implementation demonstrates a practical image denoising approach using Curvelet transform, featuring MATLAB-based implementation with frequency partitioning and directional filtering components.
Curvelet transform - multiscale directional representation for signal and image processing
MATLAB code implementation of Curvelet Lab toolbox featuring hybrid MATLAB-C programming for efficient curvelet transforms in image processing applications
Image denoising implementation through curvelet transform with code-related explanations