Computer-aided Digital Image Inpainting Algorithm and Image Special Effects Processing Based on Deep Learning

被引：0

作者：

Li, Zhiguang ^{[1
]}

Jahng, Surng Gahb ^{[1
]}

机构：

[1] School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University, Seoul,06974, Korea, Republic of

来源：

Computer-Aided Design and Applications | 2024年 / 21卷 / S1期

关键词：

Classification (of information) - Computer aided design - Computer aided instruction - Deep learning - E-learning - Image enhancement - Restoration - Special effects;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

When processing the image, the image that is easy to process is not covered and missing. The image will be partially missing or pixels will be lost due to the low accuracy of the transmission equipment or the unstable network. The main purpose of image inpainting is to generate enough real content, so that the restored image has complete structure and details with visual effects. In this article, deep learning (DL) and CAD technology are applied to the process of digital image special effects processing and restoration, trying to reduce the retrieval range through image feature information classification, and removing background interference information through image positioning and cutting. The test results show that the recall of this algorithm for digital image restoration has increased by more than 15%. The method successfully predicted the information of the large missing area in the image, and realized the realism of the photo, which produced clearer and more coherent results than the previous methods. In the work of image special effects processing, we should sum up experience and introduce AI technology according to specific needs to enhance the advanced nature of image special effects processing. © 2024, CAD Solutions, LLC. All rights reserved.

引用

页码：88 / 100