Study to the Image Interpolation Algorithm Based on Multiwavelet Transform
Lei Zhu · College Mathematics · 2011
Similar to the scalar wavelet transform,the multiwavelet transform also have multiresolutuion characterristics.By one level multiwavelet decomposition,the image is transformed into four low frequency bands and twelve high frequency bands,and the size of original image is four times larger than that ones in the transformed bands.With this characteristics of multiwavelet transformations,and making use of the information obtained from the original image and the high frequency bands after transformation,also taking the fractal dimensions of high frequency bands into account,the paper has proposed a novel image interpolation algorithm for grey images.The experimental results shows that the new algorithm has overcome shortcomings of the blur effects when interpolating with the scalar wavelet transform and has better results comparing with the traditional image interpolation methods such as bilinear or bicubic ones.