Pad: an alternative approach to the computer interface
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Space-scale diagrams: understanding multiscale interfaces
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pattern-based texturing revisited
Proceedings of the 26th 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
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
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)
Digital Image Warping
Synthesis of bidirectional texture functions on arbitrary surfaces
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Digital Image Processing
Towards real-time texture synthesis with the jump map
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
IEEE Computer Graphics and Applications
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Fragment-based image completion
ACM SIGGRAPH 2003 Papers
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Texture synthesis by fixed neighborhood searching
Texture synthesis by fixed neighborhood searching
Inference of Segmented Color and Texture Description by Tensor Voting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture for volume character animation
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Constrained Texture Synthesis via Energy Minimization
IEEE Transactions on Visualization and Computer Graphics
On texture and image interpolation using Markov models
Image Communication
Knowledge Assisted Visualization: Knowledge-assisted visualization of seismic data
Computers and Graphics
Variable neighbourhood texture synthesis with patch initialisation
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
Photo zoom: high resolution from unordered image collections
Proceedings of Graphics Interface 2010
Super-resolution texture synthesis using stochastic PAR/NL model
Journal of Visual Communication and Image Representation
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A common deficiency of discretized datasets is that detail beyond the resolution of the dataset has been irrecoverably lost. This lack of detail becomes immediately apparent once one attempts to zoom into the dataset and only recovers blur. Here, we describe a method that generates the missing detail from any available and plausible high-resolution data, using texture synthesis. Since the detail generation process is guided by the underlying image or volume data and is designed to fill in plausible detail in accordance with the coarse structure and properties of the zoomed-in neighborhood, we refer to our method as constrained texture synthesis. Regular zooms become "semantic zooms", where each level of detail stems from a data source attuned to that resolution. We demonstrate our approach by a medical application 驴 the visualization of a human liver 驴 but its principles readily apply to any scenario, as long as data at all resolutions are available. We will first present a 2D viewing application, called the "virtual microscope", and then extend our technique to 3D volumetric viewing.