19 January 2009 Contour stencils for edge-adaptive image interpolation
Author Affiliations +
Abstract
We first develop a simple method for detecting the local orientation of image contours and then use this detection to design an edge-adaptive image interpolation strategy. The detection is based on total variation: small total variation along a candidate curve implies that the image is approximately constant along that curve, which suggests it is a good approximation to the contours. The proposed strategy is to measure the total variation over a "contour stencil," a set of parallel curves localized over a small patch in the image. This contour stencil detection is used to design an edge-adaptive image interpolation strategy. The interpolation is computationally efficient, operates robustly over a variety of image features, and performs competitively in a comparison against existing methods. The method extends readily to vector-valued data and is demonstrated for color image interpolation. Other applications of contour stencils are also discussed.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pascal Getreuer, Pascal Getreuer, } "Contour stencils for edge-adaptive image interpolation", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725718 (19 January 2009); doi: 10.1117/12.806014; https://doi.org/10.1117/12.806014
PROCEEDINGS
13 PAGES


SHARE
RELATED CONTENT

Image zooming with contour stencils
Proceedings of SPIE (February 02 2009)
Adaptive robust filters in MRI
Proceedings of SPIE (May 08 2002)
Enhanced nonlocal-means method for image superresolution
Proceedings of SPIE (October 29 2009)

Back to Top