International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Image interpolation and resampling
Handbook of medical imaging
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image upsampling via imposed edge statistics
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH Asia 2008 papers
Efficient graphical models for processing images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
New edge-directed interpolation
IEEE Transactions on Image Processing
Fast and robust multiframe super resolution
IEEE Transactions on Image Processing
Image up-sampling using total-variation regularization with a new observation model
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
Solving the inverse problem of image zooming using "self-examples"
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Video deblurring for hand-held cameras using patch-based synthesis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Example-based single image enhanced up-sampling
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Self-content super-resolution for ultra-HD up-sampling
Proceedings of the 9th European Conference on Visual Media Production
Digital restoration of damaged mural images
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Patch-based spatio-temporal super-resolution for video with non-rigid motion
Image Communication
Image super-resolution using local learnable kernel regression
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Image super-resolution: use of self-learning and gabor prior
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
PatchNet: a patch-based image representation for interactive library-driven image editing
ACM Transactions on Graphics (TOG)
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We propose a new high-quality and efficient single-image upscaling technique that extends existing example-based super-resolution frameworks. In our approach we do not rely on an external example database or use the whole input image as a source for example patches. Instead, we follow a local self-similarity assumption on natural images and extract patches from extremely localized regions in the input image. This allows us to reduce considerably the nearest-patch search time without compromising quality in most images. Tests, that we perform and report, show that the local self-similarity assumption holds better for small scaling factors where there are more example patches of greater relevance. We implement these small scalings using dedicated novel nondyadic filter banks, that we derive based on principles that model the upscaling process. Moreover, the new filters are nearly biorthogonal and hence produce high-resolution images that are highly consistent with the input image without solving implicit back-projection equations. The local and explicit nature of our algorithm makes it simple, efficient, and allows a trivial parallel implementation on a GPU. We demonstrate the new method ability to produce high-quality resolution enhancement, its application to video sequences with no algorithmic modification, and its efficiency to perform real-time enhancement of low-resolution video standard into recent high-definition formats.