Adaptive Median Filtering Algorithm under Multi-windows in Digital Image Processing Based on Automatic Recognition

Abstract

The traditional median filtering method will lose some of the image details while removing the impulse noise, and the running speed can not meet the real-time requirements well. As an important medium and means of transmitting information, image information is particularly important in human-accepted information. As a nonlinear filtering method, median filtering can eliminate random noise and pulse interference, and can retain the edge information of the image to a large extent. Combining with the block median filtering method under the multi-window structure of automatic recognition, it can preprocess the image well under the complex situation. Digital image processing is mainly realized by computer, which can process image information to meet people's visual psychology or application needs. As a typical non-linear filtering method, median filtering is widely used in digital image processing.