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Low-complexity direct computation algorithm for cubic-spline interpolation scheme.

Authors :
Hong, Shao-Hua
Wang, Lin
Truong, Trieu-Kien
Source :
Journal of Visual Communication & Image Representation. Jan2018, Vol. 50, p159-166. 8p.
Publication Year :
2018

Abstract

Cubic-spline interpolation (CSI) scheme is known to be designed to resample the discrete image data based on the least-square method in conjunction with the cubic convolution interpolation (CCI) function. It is superior in performance and can be used together with the discrete cosine transform (DCT)-based image or video codec to improve the coding performance for a variety of high compression ratios. In this paper, we firstly make some comments on the direct computation algorithm for CSI scheme developed by Lin et al. Moreover, a low-complexity direct computation algorithm for CSI scheme is developed to further improve the computational efficiency. The mathematical derivations and simulation results indicate that such simplified CSI scheme using the proposed low-complexity direct computation algorithm can achieve almost the same objective and subjective performance with much fewer arithmetic operations in comparison with the CSI scheme using the direct computation algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10473203
Volume :
50
Database :
Academic Search Index
Journal :
Journal of Visual Communication & Image Representation
Publication Type :
Academic Journal
Accession number :
127388483
Full Text :
https://doi.org/10.1016/j.jvcir.2017.11.010