AIGC视域下工业产品图像多尺度细节增强OA

A multi-scale detail enhancement method for industrial product images in the perspective of AIGC is proposed to preserve the important details of industrial product images,improve the overall visual effect,and promote the intelligent level of industrial product quality management.The multi-scale detail enhancement model of the industrial product image in the perspective of AIGC is constructed.The original industrial product image is decomposed into detail layer and base layer according to the Retinex theory.The image distortion correction and color correction of the multi-scale industrial product image are carried out by means of computer vision,and the processed industrial product image is input into the generative adversarial network(GAN),and then the multi-scale detail enhancement of the processed industrial product image is realized according to the adversarial training of the generative network and the discriminant network.The experimental results show that the proposed method is highly stable in correcting distorted images,and can adapt to different light intensity environments.The structural similarity of multi-scale detail enhancement is always higher than 95%.It can be seen that the proposed method can retain the original important structural features of images,and highlight the details of industrial products,so it can contribute to the quality management of industrial products.