Reconstruction Algorithms in Computer Image Automatic Detection Technology

With the rapid development of computer vision technology, automatic image detection technology has become more and more important in various fields. This paper focuses on the reconstruction algorithm in computer image automatic detection technology, and puts forward innovative solutions to the limitations of the existing technology. In this paper, SRCNN (super-resolution convolutional neural network) algorithm is selected, and compared with bilinear interpolation and SRGAN (super-resolution generation countermeasure network) algorithm. The experimental results show that the image quality reconstruction of SRCNN algorithm is obviously higher than the other two algorithms, and the maximum PSNR is 60 and the minimum is 41. The calculation efficiency is also higher. The above research results provide new research possibilities for image reconstruction technology in the fields of medical imaging and industrial inspection.