Comparison of Image Denoising: Wiener Filter vs. Least Squares Filter
A comparative analysis of Wiener filtering and least squares filtering for image denoising, including algorithm explanations and implementation considerations
Total Variation Method for Image Denoising Implementation
Image denoising using Total Variation method with detailed explanations and practical examples, including algorithm implementation and code description
Classic Denoising Algorithm - BM3D
Application Background The non-local algorithm for image denoising was first introduced at CVPR 2005, and subsequently improved in 2007 TIP with the proposal of the classic BM3D algorithm, which has become a benchmark in image denoising with remarkable performance! Key Technology The Non-Local Means (NLM) denoising algorithm estimates the center point of reference blocks by performing weighted averaging of self-similar structural blocks to reduce noise (zero-mean Gaussian white noise). Although NLM achieves excellent denoising results, it still falls short in preserving the original image's structural information. The 2007 TIP paper introduced the 3D Block Matching (BM3D) algorithm based on similarity between image patches.
Image Denoising Using Red-Black Wavelet Transform with Comparative Analysis
Implementation of red-black wavelet for image denoising and restoration, featuring performance comparison with conventional wavelet methods including code implementation insights
Total Variation Image Processing Methods
Total variation image processing techniques for image denoising, deconvolution, and inpainting with implementation approaches
Bayesian Threshold Method for Image Denoising Implementation
Implementation of image denoising using Bayesian threshold method, with simulation results based on the research paper "Chang: Adaptive Wavelet Thresholding for Image Denoising and Compression" including algorithm explanations and code implementation details.
MATLAB Implementation of K-L Transform for Signal Denoising
MATLAB code implementation of Karhunen-Loève (K-L) Transform with applications in image denoising and seismic data processing, featuring eigenvalue decomposition and covariance matrix analysis
GUI Application for Image Denoising Experiments
A MATLAB GUI-based application implementing multiple image denoising techniques including wavelet denoising and median filtering, successfully tested and operational.
Generalized Sparse Coding Methods
A generic sparse coding approach widely applied in image denoising, object recognition, and other domains, with implementations leveraging optimization algorithms and dictionary learning techniques.
Wavelet Transform-Based Image Denoising MATLAB Source Code
MATLAB source code implementation for wavelet transform-based image denoising, featuring robust performance and customizable parameters for effective noise reduction.