【作者单位】1 School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China 2 School of Engineering, Tibet University, Lhasa 850000, China
【年份】2015
【卷号】Vol.20 No.8
【页码】1000-1007
【ISSN】1006-8961
【摘要】 Objective This study aims to overcome the challenges of traditional image inpainting algorithms, wherein texture extension may occur and some incorrect samples may be selected as candidate patches when sample-based algorithms are employed to inpaint ...
