Digital Image Denoising Method Based on Mean Filter

Digital image processing refers to the use of computers for the digital processing of visual information in scientific research and production, and the processing of image information to meet people’s visual psychology or application needs. As an important medium and means to transmit information, image information is especially important in the information accepted by human beings. As a non-linear filtering method, mean filtering can not only eliminate random noise and impulse interference, but also retain image edge information to a large extent. After the emergence of digital image processing technology, people can use it to modify and beautify the image according to their own needs, which makes the image a collection of pixels. The traditional mean filtering method can not meet the real-time requirements well, and it will lose some image details while removing impulse noise. Combined with the block mean filtering method in the multi window structure of automatic recognition, it can better preprocess the image when it is relatively complex.