A new method for directional image interpolation
Sadik D. Bayrakeri, Russell M. Mersereau
Abstract
Sadik D. Bayrakeri, Russell M. Mersereau
Abstract
A nonlinear method for image interpolation is presented based on spatial domain directional interpolation. Existing directional interpolation algorithms, which only consider edge regions, are extended to the whole image by interpolating in multiple directions. The interpolated values along various directions are combined using directional weights, which depend on the variation in that direction. The interpolation value for each direction is assigned based on the magnitude of its directional derivative.
OpenAlex reports 36 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A nonlinear method for image interpolation is presented based on spatial domain directional interpolation. Existing directional interpolation algorithms, which only consider edge regions, are extended to the whole image by interpolating in multiple directions. The interpolated values along various directions are combined using directional weights, which depend on the variation in that direction. The interpolation value for each direction is assigned based on the magnitude of its directional derivative.
Key concepts: Interpolation (computer graphics), Stairstep interpolation, Nearest-neighbor interpolation, Directional derivative, Multivariate interpolation, Image scaling, Trilinear interpolation, Bilinear interpolation