Least Squares Filtering for Image Restoration
An image restoration program implementing least squares filtering that operates using actual PSF functions and noise intensity parameters, fully executable with proper parameter configuration
Soft Threshold Wavelet Denoising with Haar Wavelet - Implementation and Analysis
Soft threshold wavelet denoising using Haar wavelet.rar - Set the file directory as working directory, open wavlet.fig, input noise intensity (0-0.1, non-zero) in the noise prompt box, click process button to display experimental results including original image, noisy image, denoised image comparison and current PSNR value. wavlet.m contains the main program implementation with Haar wavelet transformation and soft thresholding algorithm.
Denoised Images with Various Noise Intensities Optimized using Particle Swarm Algorithm
Denoised images with varying noise intensities, using Particle Swarm Optimization (PSO) to optimize structural elements, finding optimal structuring elements for image denoising operations to achieve maximum Peak Signal-to-Noise Ratio (PSNR)
Wavelet Soft Threshold Denoising Using soft harr.rar
Wavelet Soft Threshold Denoising (soft harr.rar). Set the file directory as the working directory, then open wavlet.fig. Enter the noise intensity (between 0-0.1, excluding zero) in the noise input field. Click the process button to display experimental results including original image, noise-added image, denoised image comparison, and current PSNR value. wavlet.m contains the main program implementation with wavelet decomposition, threshold processing, and reconstruction functions.