Title :
DCT and wavelet based representations of arbitrarily shaped image segments
Author :
Desai, Ujjaval Y.
Author_Institution :
Dept. of Electr. Eng., MIT, Cambridge, MA, USA
Abstract :
This paper describes two efficient algorithms for representing arbitrarily shaped objects. The first representation, called cosine filling, is a DCT-based approach for obtaining a compact description of objects, making it possible to achieve high compression. A wavelet-based approach is also proposed. This representation not only provides compact description, but also facilitates smooth extension, which can be useful in extrapolation and interpolation of objects
Keywords :
data compression; discrete cosine transforms; extrapolation; image coding; image representation; image sequences; interpolation; transform coding; wavelet transforms; DCT based representations; algorithms; arbitrarily shaped image segments; compact description; cosine filling; extrapolation; high compression; interpolation; smooth extension; wavelet based representations; Discrete cosine transforms; Discrete wavelet transforms; Extrapolation; Filling; Image coding; Image segmentation; Image sequences; Matching pursuit algorithms; Pixel; Transform coding;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.531427
