Fractal image compression: theory and application
Fractal image compression: theory and application
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Communications of the ACM
Computer Vision
Edge Direction Preserving Image Zooming: A Mathematical and Numerical Analysis
SIAM Journal on Numerical Analysis
Image Reconstruction Using Data-Dependent Triangulation
IEEE Computer Graphics and Applications
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
Energy Partitions and Image Segmentation
Journal of Mathematical Imaging and Vision
Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Variational Model for P+XS Image Fusion
International Journal of Computer Vision
Robust fusion of irregularly sampled data using adaptive normalized convolution
EURASIP Journal on Applied Signal Processing
Reversible Interpolation of Vectorial Images by an Anisotropic Diffusion-Projection PDE
International Journal of Computer Vision
Exemplar-Based Interpolation of Sparsely Sampled Images
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
The Split Bregman Method for L1-Regularized Problems
SIAM Journal on Imaging Sciences
Super-resolution with sparse mixing estimators
IEEE Transactions on Image Processing
A Two-Stage Cross Correlation Approach to Template Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
New edge-directed interpolation
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Fast image and video colorization using chrominance blending
IEEE Transactions on Image Processing
Kernel Regression for Image Processing and Reconstruction
IEEE Transactions on Image Processing
A New Orientation-Adaptive Interpolation Method
IEEE Transactions on Image Processing
Deblurring Using Regularized Locally Adaptive Kernel Regression
IEEE Transactions on Image Processing
Subpixel edge localization and the interpolation of still images
IEEE Transactions on Image Processing
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Image interpolation is the problem of increasing the resolution of a given image. An important aspect of interpolation is accurate estimation of edge orientations. This work introduces contour stencils, a new method for estimating the image contours based on total variation along curves. Contour stencils are able to distinguish lines of different orientations, curves, corners, and other geometric features with a computationally efficient formula. Contour stencils are applied in designing an edge directed color interpolation method. The method incorporates an efficient approximation of deconvolution. Although most interpolation methods that involve deconvolution require either solving a large linear system or running many iterations, this method has linear complexity in the number of pixels and can be computed in one or a small number of passes through the image. Comparisons show that the proposed interpolation is competitive with existing methods.