Medical Image Denoising Processing Application Technology Based on Combined Filtering

Abstract

Abstract—In recent years, with the continuous progress and wide application of science and technology, image processing technology has been More and more scholars pay close attention to it. Image processing technology refers to a series of operations such as digitization, encoding, transmission, and analysis of images. Obviously, the restoration of degraded images is also an important research field, such as aerospace, remote sensing images, biological sciences and other fields, which are very popular. In this paper, the inverse filter models are studied. Through MATLAB simulation, it is found that the recovery effect of these filter models is not ideal in the case of noise, so a combined algorithm is proposed. Combining the spatial filter and the inverse filter wave, the purpose is to filter out some noise through the spatial filter before the image is fed into the inverse filter. Through the MATLAB simulation, it is found that the denoised image processed by the combined algorithm has a better effect.