A New Visual Image Reconstruction Method of Production Equipment for Industrial Intelligent Terminals

Abstract

Visual images of production equipment are very important for the construction of smart factory, and now higher requirements have been put forward for them. Super resolution reconstruction technology can cope with the low resolution of visual images of production equipment, so exploring this technology is a meaningful work for industrial enterprises to realize visualization and automation of production process and improve production and management efficiency. In view of this, this paper proposed a new image denoising algorithm based on hybrid statistical model to realize noise suppression of visual images of production equipment oriented to industrial intelligent terminals. In this research, the image feature information was fully utilized and a super resolution image reconstruction model was built based on fusion of hierarchical attention residual features and then applied to visual image reconstruction of production equipment for industrial intelligent terminals. The validity of the proposed model was verified by experimental results.