Two-dimensional spline interpolation for image reconstruction

A scheme of two-dimensional (2-D) spline interpolation for image reconstruction is presented. It is aimed to be applied in image data compression. An impulse response derived from 2-D quadratic spline functions is theoretically analysed. Then it is approximated to be a finite-duration one (FIR) for practical implementation. With this scheme, compression rate of greater than 12 is achieved for X-ray left ventricular cineangiogram image data compression.

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