Generalised interpolation of segmented images using shape-independent orthogonal transforms

Author

Polec, Jaroslav ; Pavlovicová, Jarmila

Author_Institution

Dept. of Telecommun., FEI STU, Bratislava, Slovakia

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

888

Abstract

We develop a new method for object-oriented interpolation of images. It is an important tool in image processing, since using interpolation we can considerably decrease amount of data, necessary for image reconstruction. Application of this interpolation enables one to downsample object separately. The selected object can be processed at the different sampling level. This approach allows for example object oriented zoom. Moreover, the object-oriented approach is very novel idea that helps to understand the image content. The method is created from a cosine approximation implemented for coding with shape independent basis functions

Keywords

data compression; image coding; image sampling; image segmentation; interpolation; object-oriented methods; transform coding; transforms; cosine approximation; downsampling; generalised interpolation; image coding; image content; image reconstruction; object oriented zoom; object-oriented image interpolation; sampling level; segmented images; shape-independent basis functions; shape-independent orthogonal transforms; Discrete transforms; Electronic mail; Fuzzy sets; Hardware; Image coding; Image processing; Image reconstruction; Image segmentation; Interpolation; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958266

Filename

958266