Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Image interpolation and resampling
Handbook of medical imaging
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Automatic Mosaicing with Super-Resolution Zoom
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Second order image statistics in computer graphics
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Colorization using optimization
ACM SIGGRAPH 2004 Papers
Texture optimization for example-based synthesis
ACM SIGGRAPH 2005 Papers
Efficient graphical models for processing images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Image enhancement by nonlinear extrapolation in frequency space
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Image up-sampling using total-variation regularization with a new observation model
IEEE Transactions on Image Processing
Bixels: picture samples with sharp embedded boundaries
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH Asia 2008 papers
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Photo zoom: high resolution from unordered image collections
Proceedings of Graphics Interface 2010
Compressive image super-resolution
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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
Virtual Super Resolution of Scale Invariant Textured Images Using Multifractal Stochastic Processes
Journal of Mathematical Imaging and Vision
Non-local kernel regression for image and video restoration
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Image and video upscaling from local self-examples
ACM Transactions on Graphics (TOG)
Image super-resolution by vectorizing edges
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
ACM SIGGRAPH 2011 papers
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
Exploiting self-similarities for single frame super-resolution
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
High-quality fast image upsampling algorithm based on CUDA
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Edge-preserving single image super-resolution
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Edge-guided resolution enhancement in projectors via optical pixel sharing
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
Reducing aliasing artifacts through resampling
EGGH-HPG'12 Proceedings of the Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics
Image super-resolution by textural context constrained visual vocabulary
Image Communication
Patch based synthesis for single depth image super-resolution
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
A Bayesian approach to alignment-based image hallucination
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Self-content super-resolution for ultra-HD up-sampling
Proceedings of the 9th European Conference on Visual Media Production
Bi-affinity filter: a bilateral type filter for color images
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Patch-based spatio-temporal super-resolution for video with non-rigid motion
Image Communication
Nonlocal spectral prior model for low-level vision
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Image upscaling using multiple dictionaries of natural image patches
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
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
Face hallucination on personal photo albums
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Hi-index | 0.00 |
In this paper we propose a new method for upsampling images which is capable of generating sharp edges with reduced input-resolution grid-related artifacts. The method is based on a statistical edge dependency relating certain edge features of two different resolutions, which is generically exhibited by real-world images. While other solutions assume some form of smoothness, we rely on this distinctive edge dependency as our prior knowledge in order to increase image resolution. In addition to this relation we require that intensities are conserved; the output image must be identical to the input image when downsampled to the original resolution. Altogether the method consists of solving a constrained optimization problem, attempting to impose the correct edge relation and conserve local intensities with respect to the low-resolution input image. Results demonstrate the visual importance of having such edge features properly matched, and the method's capability to produce images in which sharp edges are successfully reconstructed.