Pyramidal search of maximum coherence direction for biomedical image interpolation

Author

Jingdan Zhang ; Wang, Yongmei ; Guo, Baining

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China

fYear

2002

fDate

2002

Firstpage

887

Lastpage

890

Abstract

A multiresolution technique for biomedical image interpolation is presented. It is an extension of the work on directional coherence interpolation (DCI) - a novel gray-level image interpolation method that interpolates the missing image data along the smoothed maximum coherence directions (MCDs). We propose to apply a pyramidal search strategy for MCD estimation. This coarse-to-fine scheme requires less computation time by starting with the reduced amount of data and propagating searching results to finer resolutions. In addition, it also improves robustness compared with our previous single resolution DCI.

Keywords

brain; coherence; image resolution; interpolation; medical image processing; rendering (computer graphics); smoothing methods; MCD estimation; MR brain image; biomedical image interpolation; coarse-to-fine scheme; directional coherence interpolation; finer resolutions; gray-level image interpolation method; human perception; less computation time; maximum coherence direction; multiresolution technique; pyramidal search; pyramidal search strategy; reduced data; rendering effects; robustness; smoothed maximum coherence directions; Biomedical engineering; Biomedical imaging; Coherence; Computational efficiency; Image analysis; Image resolution; Image segmentation; Image texture analysis; Interpolation; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on

Print_ISBN

0-7803-7584-X

Type

conf

DOI

10.1109/ISBI.2002.1029403

Filename

1029403