Space scale analysis for image sampling and interpolation

Author

Ford, G.E. ; Estes, R.R. ; Chen, H.

Author_Institution

Center for Image Process. & Integrated Comput., California Univ., Davis, CA, USA

Volume

3

fYear

1992

fDate

23-26 Mar 1992

Firstpage

165

Abstract

In image processing operations involving changes in the sampling grid, including increases or decreases in resolution, care must be taken to preserve image structure. Structure includes regions of high contrast, such as edges, streaks, or corners, all indicated by large gradients. The authors consider the use of local spatial analysis for both sampling and interpolation. Anisotropic diffusion is considered as a directional smoothing technique that preserves structure. This is used in conjunction with a method of directional interpolation, which is also based on structure analysis

Keywords

image processing; interpolation; anisotropic diffusion; corners; directional interpolation; directional smoothing technique; edges; image interpolation; image processing; image sampling; image structure; local spatial analysis; resolution; sampling grid; space scale analysis; streaks; structure analysis; Anisotropic magnetoresistance; Convolution; Filtering; Filters; Image analysis; Image processing; Image resolution; Image sampling; Interpolation; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226250

Filename

226250