Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6940086 | Pattern Recognition | 2016 | 29 Pages |
Abstract
This paper presents a new guided image completion method which fills any missing values by considering information from a guidance image. We develop a confidence propagation scheme that allows the filling process to be carried out simultaneously without the need of deciding the filling order. We conduct experiments in several applications where the problem can be formulated into a guided image completion problem, such as interactive segmentation and colorization. The experimental results show that our method provides good results and succeeds in situations where conventional methods fail. In addition, as all building blocks are parallel processes, our method is much suitable for hardware acceleration.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Xiao Tan, Changming Sun, Kwan-Yee K. Wong, Tuan D. Pham,