Image Denoising Using Non-Subsampled Contourlet Transform with Multiscale Geometric Analysis
Application of Non-Subsampled Contourlet Transform for image denoising through multiscale geometric decomposition and reconstruction algorithms.
Trilateral Filter Algorithm Implementation Toolkit
This toolkit implements the trilateral filter algorithm primarily designed for image denoising and related applications, featuring optimized computational efficiency and edge-preserving capabilities.
Image Denoising Using Wavelet-Domain Hidden Markov Models
Wavelet-domain Hidden Markov Model-based image denoising represents the highest-performing image denoising methodology currently available, combining multiscale signal analysis with statistical modeling techniques.
Image Denoising Using Scale Mixtures of Gaussians in Wavelet Domain
This simulation algorithm implements image denoising based on the paper "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain", featuring wavelet domain processing with Gaussian scale mixtures and optimized implementation for enhanced image quality.
Wavelet-PDE Based Image Denoising
Image denoising program based on wavelet-PDE (Partial Differential Equation) methodology, implemented using MATLAB 7 programming environment with wavelet decomposition and PDE-based diffusion algorithms
Image Denoising with Deep Learning
Comprehensive approach to image noise reduction utilizing deep neural networks for enhanced image quality preservation.
Image Denoising via RBF Neural Network Learning with Projected Original Images
Image Denoising Through RBF Neural Network Learning with Supervised PCA Projection