Application and Research of Image Denoising for Oil Field Security Monitoring
Huaizhou Yang, Chenzhuo Liu, Tian Luo · 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) · 2022
Intelligent security monitoring is often used to detect all kinds of irregularities in oil field operation. Because of the influence of the environment, the pictures captured by digital devices contain noise, which degrades the quality and affects the subsequent analysis. Therefore, the research of image denoising has strong theoretical significance and application value. In this paper, the Restormer denoising network and HINET denoising network are compared and analyzed respectively, the implementation process and application of these two neural networks are briefly described, and the advantages and disadvantages of these two networks in image denoising are compared.