Affiliation of Author(s):Beijing University of Posts and Telecommunications
Journal:Machine Vision and Applications
Abstract: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. ......
Note:https://doi.org/10.1007/s00138-020-01151-9
Indexed by:Journal paper
First Author:Zhenghang Wu
Correspondence Author:Yidong Cui
Document Type:J
Volume:32
Issue:1
ISSN No.:1432-1769
Translation or Not:no
Date of Publication:2021-01-08
Included Journals:SCI
Links to published journals:https://doi.org/10.1007/s00138-020-01151-9