As an efficient optical detection technology, polarization imaging obtains the polarization information of the target scene through polarization modulation, and then realizes the multi-dimensional target representation, recognition and detection. However, in practice, polarization imaging technology is very easy to be affected by noise, which leads to the degradation of image quality. Especially in the calculation of degree of polarization and angle of polarization, the nonlinear calculation will amplify the noise, then obtain the wrong polarization information, which greatly limits the further application and development of polarization imaging technology. Effective denoising technology can improve the quality of polarization images and obtain more accurate polarization information from polarization images, which has important application value and research significance in practice. Based on the research progress and development status of polarization imaging denoising technology, the basic principles, implementation approaches and algorithms of different techniques are mainly introduced, and their performances are evaluated and compared. The work is of great significance for obtaining high quality polarization parameters and the subsequent polarization information processing and application.