APPLICATION OF THE MEDIAN FILTER ALGORITHM TO REMOVE NOISE IN IMAGES

Abstract

Annotation. The Image Noise Detection Algorithm is a set of studies designed to measure the level of noise present in a presentation. Noise in images can be caused by variables such as the image sensor, transmission error, and the digitizing process. Removing noise from an image is an important pre-processing step for high-priority image processing tasks because it can improve the accuracy of analysis and the value of images. Various techniques and filters have been implemented to reduce the effective noise in an image, including image filtering, median filters, image restoration, and image enhancement. These methods can be implemented in Python using various libraries and functions. This article aims to apply and solve the problem of noise elimination in images, its structural characteristics and advantages, introduce and define the basic principle of operation, and also implement an example of applying the median filter algorithm.