DocumentCode :
1395518
Title :
Image data compression using cubic convolution spline interpolation
Author :
Truong, T.K. ; Wang, L.J. ; Reed, I.S. ; Hsieh, W.-S.
Author_Institution :
Coll. of Electr. & Inf. Eng., I-Shou Univ., Kaohsiung, Taiwan
Volume :
9
Issue :
11
fYear :
2000
fDate :
11/1/2000 12:00:00 AM
Firstpage :
1988
Lastpage :
1995
Abstract :
A new cubic convolution spline interpolation (CCSI )for both one-dimensional (1-D) and two-dimensional (2-D) signals is developed in order to subsample signal and image compression data. The CCSI yields a very accurate algorithm for smoothing. It is also shown that this new and fast smoothing filter for CCSI can be used with the JPEG standard to design an improved JPEG encoder-decoder for a high compression ratio
Keywords :
convolution; data compression; filtering theory; image coding; interpolation; smoothing methods; splines (mathematics); 1D signals; 2D signals; JPEG encoder-decoder; JPEG standard; cubic convolution spline interpolation; data compression; high compression ratio; image compression; one-dimensional signals; smoothing filter; two-dimensional signals; Convolution; Data compression; Image coding; Image reconstruction; Interpolation; Quantization; Radiofrequency interference; Smoothing methods; Spline; Transform coding;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.877222
Filename :
877222
Link To Document :
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