A Robust Approach to grayscale Image Denoising: Integrating Neighborhood-Based Filtering and Wavelet Thresholding
Year: 2025
Type: article
Abstract: Thе paper proposes a novel image denoising algorithm in grayscale that integrates neighborhood filtering with adaptive wavelet-based denoising. The algorithm leverages both local and frequency-domain information to effectively remove noise while preserving image details, demonstrating superior performance in terms of PSNR and visual quality compared to existing algorithms. Thе approach is robust against various types of noise, including salt-and-pepper and Gaussian, making it suitable for applications in different fields requiring high-quality image restoration. The image denoising algorithm is built in Matlab.
Authors: Byulent Idirizov, Bulgaria
Institution: Institute of Mathematics and Informatics
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412626672