Image Denoising Using VisuShrink Wavelet Threshold Method
This package implements image denoising functionality using the VisuShrink wavelet thresholding technique with practical code implementation for noise reduction in digital images.
Fractional-Order Anisotropic Diffusion Image Denoising
Implementation of fractional-order anisotropic diffusion image denoising method from the paper "Fractional-Order Anisotropic Diffusion for Image Denoising" by Jian Bai and Xiang Chu, published in IEEE T. Image Process., 2007, 16(10): 2492-3502, featuring MATLAB-based implementation with diffusion coefficient optimization and edge preservation capabilities
Non-Local Means Denoising
The Non-Local Means (NLM) algorithm for image denoising differs fundamentally from local mean filtering approaches. Unlike traditional methods that average pixels within a local neighborhood of the target pixel, NLM calculates weighted averages across all image pixels based on similarity measures between pixel neighborhoods. This approach preserves finer image details while reducing noise, resulting in superior sharpness retention compared to local mean algorithms. Implementation typically involves patch comparison, distance metric computation, and weighting function application.
Noise Reduction Effects of Gaussian Filter on Images
The Gaussian filter demonstrates excellent effectiveness in image noise reduction, with implementation typically involving convolution operations using Gaussian kernels.
Image Processing (Denoising, Segmentation) and Simulated Annealing Algorithm
This software package comprises four programs designed primarily for image processing (image denoising and segmentation) and implementing simulated annealing algorithms, providing robust solutions for optimization challenges.
Image Denoising Using Mathematical Morphology with Adaptive Implementation
Implementation of adaptive image denoising through mathematical morphology operations, providing noise removal while preserving image details. This approach utilizes structuring elements and morphological filters to achieve intelligent denoising.
Image Denoising Based on Compressed Sensing
Compressed sensing-based image denoising applied to multidimensional data, featuring sparse representation and reconstruction algorithms
Wavelet Transform-Based Image Denoising
MATLAB source code for image denoising using wavelet transform, including complete implementation with source files and execution results demonstrating noise reduction performance
Fractional Fourier Transform for Two-Dimensional Image Processing
Performing fractional Fourier transform on 2D images with applications in image denoising. The implementation involves computing fractional orders through eigenvalue decomposition or discrete fractional Fourier transform algorithms.
Image Denoising Implementation using MATLAB
A practical image denoising program implementing median filtering algorithm with MATLAB code examples