Expert Field Approaches for Image Denoising and Restoration
Foreign-authored implementation of expert field methods for image denoising and restoration, demonstrating excellent performance with practical code implementations.
Contourlet Transform Toolbox
Contourlet Transform Toolbox - A powerful tool recently gaining significant traction in image denoising and fusion applications
Image Denoising Using Wavelet Transform
This wavelet transform-based image denoising solution is fully functional and includes detailed implementation notes. The algorithm effectively reduces noise while preserving image details through multi-scale analysis and thresholding techniques.
Non-Subsampled Contourlet Transform (NSCT)
Non-Subsampled Contourlet Transform (NSCT) – primarily used for image denoising with exceptional effectiveness, implementing multi-directional and multi-scale decomposition without downsampling to preserve image details.
Multiple Image Denoising and Enhancement Techniques
Comprehensive image processing methods including image denoising, sharpening, embossing effects, segmentation, and recognition with practical implementation approaches
Image Denoising Implementation Using MATLAB
This MATLAB-based image denoising program utilizes wavelet packet decomposition with default thresholding, wavelet decomposition, and reconstruction techniques for effective noise removal.
MATLAB GUI Interface for Image Denoising
A MATLAB GUI-based program example for image denoising, capable of reading various image formats, selecting different denoising methods, and generating denoised images while simultaneously displaying the original, noisy, and denoised images in a single interface
MATLAB Image Processing Code Implementation with Gaussian Smoothing and Denoising
MATLAB source code for image processing featuring Gaussian smoothing filters, frequency-domain smoothing implementation, and image denoising algorithms. Comprehensive collection suitable for learning and practical applications with detailed code explanations.
MATLAB GUI Application Example for Image Denoising
A MATLAB GUI-based application example for image denoising, supporting multiple image formats, various denoising algorithms, and simultaneous visualization of original, noisy, and denoised images in a unified interface with code implementation insights
Shearlet Transform for Image Denoising
Application Context: Shearlet transform is an effective method for achieving localized and optimally sparse representations with simple mathematical construction and fast algorithmic implementation. These advantages make shearlet transform an attractive candidate for image representation. Key Technologies: (a) Decomposition of noisy images. (b) Obtaining shearlet coefficients through different subbands and directional filtering orientations using adaptive directional selection.