Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Learning How to Inpaint from Global Image Statistics
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Digital Image Inpainting based on Markov Random Field
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Interpolation of missing data in image sequences
IEEE Transactions on Image Processing
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A novel approach to image inpainting is introduced in this paper. The novelty lies in the combination of the MRF inpainting technique and a multiscale information fusion mechanism. This combination uses both local information via the MRF technique and global information via the multi-scale mechanism to improve the image inpainting quality. The proposed algorithm consists of three steps. In the first step, the image to be inpainted is decomposed into multiple levels via a multi-scale decomposition. In the second step, the image of each level is inpainted based on the MRF model. Finally, the multi-scale inpainting results of all levels with different scales are fused. The experimental results show that the proposal inpainting algorithm achieves fairly good results.