Analysis and improvement of methods and means for eliminating distortions in image and video signals

Abstract

The main purpose of this article was to study existing image processing methods, binarization and
noise reduction, and to develop an improved adaptive thresholding algorithm. The analysis of
methods and tools for eliminating distortions in image and video signals is an urgent task in
numerous fields, including medicine, computer vision, and document science. The article discusses
in detail the existing binarization and noise reduction methods, highlighting their advantages and
limitations. However, the main achievement is the development and implementation of an
improved adaptive thresholding algorithm. This algorithm considers the specific features of the
image and automatically adapts the binarization threshold for better processing quality. It is a
significant contribution to the field of image processing and can be used in various fields,
including medical diagnostics and visual object detection in images.