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
fDate :
11/1/2000 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
