A novel multiwavelet-based interpolation algorithm of images

Abstract

Based on the theory of multiwavelet analysis and fractal dimensions, a novel adaptive image interpolation algorithm is proposed. By one level multiwavelet decomposition, the image is transformed into four low frequency bands and twelve high frequency bands. Using the fractal dimensions of high frequency bands, every band of two level multiwavelet transform for high-resolution image is obtained adaptively. Through two level inverse multiwavelet transform, more distinct interpolated image can be obtained. The experimental results shows that the new algorithm has overcome shortcomings of the blur effects that interpolating with the scalar wavelet transform and has better results comparing with the traditional image interpolation methods such as bilinear or bicubic ones.