计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 151-164.doi: 10.11896/jsjkx.200600009
唐浩丰, 董元方, 张依桐, 孙娟娟
TANG Hao-feng, DONG Yuan-fang, ZHANG Yi-tong, SUN Juan-juan
摘要: 图像补全是图像处理的一个研究领域,为有物体遮挡以及图像关键部分缺失状况下的图像识别提供了解决方案,应用领域非常广泛,受到了人们的关注。经深度学习方法补全的图像具有更高的图像分辨率和可靠性,逐渐成为图像补全的主流方法之一。文中针对图像补全领域的主要问题,介绍了相关深度学习方法的基本原理和经典算法,系统而渐进地剖析了2010年以来有代表性的图像补全方法,探讨了基于深度学习的图像补全在不同领域的具体应用,并列举了该研究领域目前面临的几个问题。
中图分类号:
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