On the role of exponential splines in image interpolation
IEEE Transactions on Image Processing
New PAR/NL scheme for stochastic texture interpolation
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Selective data pruning-based compression using high-order edge-directed interpolation
IEEE Transactions on Image Processing
Two-stage interpolation algorithm based on fuzzy logics and edges features for image zooming
EURASIP Journal on Advances in Signal Processing
Nonlocal back-projection for adaptive image enlargement
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Interpolating fine texturess with fields of experts prior
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
High resoluton image reconstruction: a new imager VIA movable random exposure
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Image enlargement by applying coordinate rotation and kernel stretching to interpolation kernels
EURASIP Journal on Advances in Signal Processing
A motion-aligned auto-regressive model for frame rate up conversion
IEEE Transactions on Image Processing
Nonlinear image upsampling method based on radial basis function interpolation
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Super-resolution with sparse mixing estimators
IEEE Transactions on Image Processing
Image super-resolution based on multi-space sparse representation
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
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
Color image demosaicking: An overview
Image Communication
Contextual dictionaries for image super resolution
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
On single image scale-up using sparse-representations
Proceedings of the 7th international conference on Curves and Surfaces
Research on Interpolation Methods in Medical Image Processing
Journal of Medical Systems
An automatic image scaling up algorithm
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Super-resolution texture synthesis using stochastic PAR/NL model
Journal of Visual Communication and Image Representation
Model-based adaptive resolution upconversion of degraded images
Journal of Visual Communication and Image Representation
Depth recovery using an adaptive color-guided auto-regressive model
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Greedy regression in sparse coding space for single-image super-resolution
Journal of Visual Communication and Image Representation
Anisotropic Probabilistic Neural Network for Image Interpolation
Journal of Mathematical Imaging and Vision
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The challenge of image interpolation is to preserve spatial details. We propose a soft-decision interpolation technique that estimates missing pixels in groups rather than one at a time. The new technique learns and adapts to varying scene structures using a 2-D piecewise autoregressive model. The model parameters are estimated in a moving window in the input low-resolution image. The pixel structure dictated by the learnt model is enforced by the soft-decision estimation process onto a block of pixels, including both observed and estimated. The result is equivalent to that of a high-order adaptive nonseparable 2-D interpolation filter. This new image interpolation approach preserves spatial coherence of interpolated images better than the existing methods, and it produces the best results so far over a wide range of scenes in both PSNR measure and subjective visual quality. Edges and textures are well preserved, and common interpolation artifacts (blurring, ringing, jaggies, zippering, etc.) are greatly reduced.