计算机与数字工程2024，Vol.52Issue(5)：1510-1515,6.DOI:10.3969/j.issn.1672-9722.2024.05.043
基于反向掩码和WGAN-GP的破损老照片修复算法
Damaged Old Photo Inpainting Algorithm Based on Reverse Mask and WGAN-GP
摘要
Abstract
Aiming at the problems of blur and artifacts in old photo inpainted by current old photo repairing algorithms,a dam-aged old photo inpainting algorithm that combines the reverse mask mechanism and generative adversarial network is proposed.This method utilizes reverse mask techniques focused on the target area to be inpainted,and proposes a joint perception-driven loss func-tion and WGAN-GP discriminator network training to enhance the global and local consistency of the inpainted image.In addition,by transforming the RGB image color space and adding Gaussian filtering,the old photo image data set is expanded.After experi-ments,the results show that the algorithm in this paper can accurately inpaint the missing parts in old photo compared to the compar-ison algorithm.The structure and texture of the inpainted photo are consistent with the original photo,which is more natural in the senses and vision.关键词
老照片/图像修复/生成对抗网络/反向掩码/梯度惩罚Key words
old photo/image inpainting/generative adversarial network/reverse mask/gradient penalty分类
信息技术与安全科学引用本文复制引用
吕家璐,祁云嵩,赵呈祥..基于反向掩码和WGAN-GP的破损老照片修复算法[J].计算机与数字工程,2024,52(5):1510-1515,6.基金项目
中国高校产学研创新基金项目(编号:2019ITA01047)资助. （编号:2019ITA01047）
