所属单位：Beijing University of Posts and Telecommunications
发表刊物：Machine Vision and Applications
摘要：Image inpainting technology can patch images with missing pixels. Existing methods propose convolutional neural networks to repair corrupted images. The network extracts effective pixels around the missing pixels and uses the encoding–decoding structure to extract valuable information to repair the vacancy. However, if the missing part is too large to provide useful information, the result will be fuzzy, color mixing, and object confusion. In order to patch the large hole image, we propose a new algorithm, the compression–decompression network, based on the research of existing methods. ......
备注：https://doi.org/10.1007/s00138-020-01151-9
论文类型：期刊论文
第一作者：吴征航
通讯作者：崔毅东
文献类型：J
卷号：32
期号：1
ISSN号：1432-1769
是否译文：否
发表时间：2021-01-08
收录刊物：SCI