Proceedings of the 27th annual conference on Computer graphics and interactive techniques
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2003 Papers
Learning How to Inpaint from Global Image Statistics
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
Image Renaissance Using Discrete Optimization
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Non-local Regularization of Inverse Problems
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Review and Preview: Disocclusion by Inpainting for Image-Based Rendering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Model-based error concealment for wireless video
IEEE Transactions on Circuits and Systems for Video Technology
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Image inpainting is one of the challenging problems in image restoration. To recover the missing region, we can only rely on the information in the uncorrupted region of the input image and some prior knowledge. The latter can be learned from suitable training data or implemented through some smoothness constraints. In this paper, a new approach for image inpainting is proposed. Here, we iteratively learn a guidance vector field from training data and recover the missing region by solving the Poisson equation using the learned guidance vector field with Dirichlet boundary conditions. In addition, we also propose a method to select the best training set by using the correlation between neighboring patches of the damaged input image and training images. The experimental results on face images show that the new approach yields smooth and visually pleasing results.