Image data compression using cubic convolution spline interpolation

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...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 9(2000), 11 vom: 15., Seite 1988-95
1. Verfasser: Truong, T K (VerfasserIn)
Weitere Verfasser: Wang, L J, Reed, I S, Hsieh, W S
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2000
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Letter
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520 |a 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 
650 4 |a Letter 
700 1 |a Wang, L J  |e verfasserin  |4 aut 
700 1 |a Reed, I S  |e verfasserin  |4 aut 
700 1 |a Hsieh, W S  |e verfasserin  |4 aut 
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