Literature DB >> 18262936

Image data compression using cubic convolution spline interpolation.

T K Truong, L J Wang, I S Reed, W S Hsieh.   

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.

Year:  2000        PMID: 18262936     DOI: 10.1109/83.877222

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  Cubic-Spline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging.

Authors:  Esmaeil Enjilela; Ting-Yim Lee; Gerald Wisenberg; Patrick Teefy; Rodrigo Bagur; Ali Islam; Jiang Hsieh; Aaron So
Journal:  Tomography       Date:  2019-09
  1 in total

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