A new simple direct computation of cubic convolution spline interpolation
Shao-Hua Hong, Lin Wang, Trieu-Kien Truong
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It has been demonstrated that the cubic convolution spline interpolation (CCSI) scheme is one of the best algorithms for image resampling or compression. In this paper, a new simple direct computation of CCSI is proposed, where the sampled data are directly calculated by the use of the original data. Moreover, the proposed algorithm provides a regular and simple structure based on linear correlation and thus is naturally suitable for VLSI implementation. Computer simulations on several standard images indicate that the proposed simple direct computation of CCSI scheme can achieve almost the same objective and subjective performance with lower complexity.