A review of image denoising methods

Abstract

Image denoising is a fundamental and important task in the field of digital image processing and computer vision. Image noise concatenation inevitably occurs during image acquisition and transmission, which leads to the degradation of image quality. The presence of noise has some negative effects on various practical applications such as object recognition, medical image analysis, and hyperspectral remote sensing. A lot of research work has provided a solution to this problem, and many methods have been developed in the literature. This paper focuses on classifying some representative works in the field of image denoising, and provides a brief review with several promising directions for further investigation in the future.