Comparative Analysis of Local Adaptive LMS Image Filtration
Rumen Mironov, Ivo Rumenov Draganov · 2023
In this paper the 2D part of the developed method for local adaptive 3D filtration of multidimensional grayscale images is compared with some advanced methods for image filtrations - BM3D, Average, Gaussian and etc. The adaptation of the presented algorithm is based on the information from a small local area of the neighbouring pixels of the processed images using the developed 2D Adaptive LMS filter. A comparative analysis of the quality of the processed images was made in terms of both peak signal-to-noise ratio calculations and subjective visual quality. The experimental results were carried out with a set of test halftone images that were noised with Additive White Gaussian Noise (AWGN) with different variance levels.