Filters for common resampling tasks
Graphics gems
A Locally Adaptive Edge-Preserving Algorithm for Image Interpolation
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Super-Resolution from Image Sequences - A Review
MWSCAS '98 Proceedings of the 1998 Midwest Symposium on Systems and Circuits
High-Quality Algorithm for Bayer Pattern Interpolation
Programming and Computing Software
An Edge Preserving Locally Adaptive Anti-aliasing Zooming Algorithm with Diffused Interpolation
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
Neighbor embedding based super-resolution algorithm through edge detection and feature selection
Pattern Recognition Letters
A hit-or-miss transform for multivariate images
Pattern Recognition Letters
Template matching based on a grayscale hit-or-miss transform
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
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Video up-conversion takes significant place in various application areas. One of important application areas is standard-definition (SD) video processing to get high-definition (HD) content for television and broadcast. However, high-quality up-conversion is a challenging task. Most practical implementations use spatial domain processing such as video frame interpolation for video up-scale. Meanwhile, due to sampling limitation the high-frequency component of output HD video cannot be efficiently reconstructed by applying only the spatial domain processing and high-quality up-conversion usually requires temporal domain processing as well. The authors propose practical implementation of such up-conversion technique providing significantly better visual results in comparison to traditional methods of SD to HD up-conversion.