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Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Is Super-Resolution with Optical Flow Feasible?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Image upsampling via imposed edge statistics
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2007 papers
Towards Digital Refocusing from a Single Photograph
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
Progressive inter-scale and intra-scale non-blind image deconvolution
ACM SIGGRAPH 2008 papers
Efficient graphical models for processing images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Extraction of high-resolution frames from video sequences
IEEE Transactions on Image Processing
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
IEEE Transactions on Image Processing
The digital TV filter and nonlinear denoising
IEEE Transactions on Image Processing
Using photographs to enhance videos of a static scene
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Selective data pruning-based compression using high-order edge-directed interpolation
IEEE Transactions on Image Processing
Low-resolution gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Colorization for single image super resolution
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Image and video upscaling from local self-examples
ACM Transactions on Graphics (TOG)
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Journal of Computer Science and Technology
Image super-resolution by vectorizing edges
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Color kernel regression for robust direct upsampling from raw data of general color filter array
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Edge-preserving single image super-resolution
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Improving sub-pixel correspondence through upsampling
Computer Vision and Image Understanding
Example-based single image enhanced up-sampling
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Image super-resolution using local learnable kernel regression
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Face hallucination on personal photo albums
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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We propose a simple but effective upsampling method for automatically enhancing the image/video resolution, while preserving the essential structural information. The main advantage of our method lies in a feedback-control framework which faithfully recovers the high-resolution image information from the input data, without imposing additional local structure constraints learned from other examples. This makes our method independent of the quality and number of the selected examples, which are issues typical of learning-based algorithms, while producing high-quality results without observable unsightly artifacts. Another advantage is that our method naturally extends to video upsampling, where the temporal coherence is maintained automatically. Finally, our method runs very fast. We demonstrate the effectiveness of our algorithm by experimenting with different image/video data.