Image reconstruction by convolution with piecewise linear polynomal kernel

A superior interpolation technique does not cause interpolated images distortion, nor does need complex computation. This paper presents a novel convolution interpolation for digital image reconstruction. The kernel of the piecewise linear convolution interpolation is built up of piecewise linear polynomial and approximates the ideal sinc-function in interval. The approach reduces the computational complexity of interpolation and the simulation results indicate that the interpolation quality is better than cubic convolution interpolations mostly.