DocumentCode :
937716
Title :
Adaptive least-squares bilinear interpolation (ALSBI): a new approach to image-data compression
Author :
De Natale, Francesco G. B. ; Giusto, D.D.
Author_Institution :
DIBA, Genoa Univ., Italy
Volume :
29
Issue :
18
fYear :
1993
Firstpage :
1638
Lastpage :
1640
Abstract :
The authors deal with a new interpolation algorithm for 2-D data, based on the least-squares optimisation of a spline-like scheme. First, an optimum least-squares bilinear interpolation is applied to uniform sampling. The problem of spatial adaptivity is then solved by recursive splitting. Finally, the technique is integrated into a two-source coding scheme.
Keywords :
data compression; image coding; interpolation; least squares approximations; optimisation; 2D data; adaptive least-squares bilinear interpolation; image-data compression; interpolation algorithm; least-squares optimisation; recursive splitting; spatial adaptivity; spline-like scheme; two-source coding scheme; uniform sampling;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19931091
Filename :
233091
Link To Document :
بازگشت