Image coding based on multiband wavelet and adaptive quad-tree partition

In this paper, a new family of multiband wavelets with a parameter λ is introduced for image coding. In our method of image coding, subbands in the wavelet decomposition are adaptively divided into insignificant subbands and significant subbands while the latter are further partitioned by a significance benchmark and by the quad-tree partition algorithm. Our experimental results show less computational cost and better capability for our method than those based on two-band wavelets.