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