Bilinear interpolation and various bi-cubic interpolations are frequently adopted in image resizing. However the bi-quadratic function is rarely considered due to its phase distortion problem. In this paper
we propose an image resizing method via bi-quadratic B-spline interpolation
where 4×4 pixels are sampled symmetrically in the local image.\r\nand resamping the image with the function
Thus the phase distortion problem can be avoided. The proposed algorithm is a local algorithm and can be easily extended.According to our experiment results
the proposed bi-quadratic B-spline interpolation algorithm has better image peak signal-to-noise ratio (PSNR) and MISSIM than bi-linear interpolation
bi-cubic convolution
Catmull-Rom cubic interpolation
or the Dodgson interpolation algorithm.The results are comparable to the bi-cubic B-spline interpolation algorithm
though the visual effects are not as good as that
but still better than the Dodgson algorithm. The computing time is reduced by nearly one-third compared to the bi-cubic B-spline interpolation algorithm.Since the algorithm has not carried on the special handling to the image edge features
so the method does not suit the rich details texture images