Multiresolution sampling procedure for analysis and synthesis of texture images
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Fast texture synthesis using tree-structured vector quantization
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Real-time texture synthesis by patch-based sampling
ACM Transactions on Graphics (TOG)
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Image replacement through texture synthesis
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Fragment-based image completion
ACM SIGGRAPH 2003 Papers
Feature matching and deformation for texture synthesis
ACM SIGGRAPH 2004 Papers
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
Image Repairing: robust image synthesis by adaptive ND tensor voting
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Fast image replacement using multi-resolution approach
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Simultaneous structure and texture image inpainting
IEEE Transactions on Image Processing
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
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We developed a fast image completion system using the multiresolution approach to accelerate the convergence of the system. The down-sampling approach is for the texture-eigenspace training process based on the multi-level background region information. The up-sampling approach is for the image completion process to synthesize the replaced foreground region. To avoid the discontinuous texture structure, we developed the directional and non-directional image completions to reconstruct the global geometric structure and maintain local detailed features of the replaced foreground region in the lowerand higher-resolution levels, respectively. In addition, the Hessian matrix decision value (HMDV) is generated to decide the priority order and direction of the synthesized patch in the replaced region. To avoid the rim effect of the synthesized result, the border of each patch defined as O-shaped pattern is selected for matching comparison instead of using entire patch. Finally, additional texture refinement process is guaranteed to have high-resolution result.