In this paper

a new low bit rate image compression algorithm based on wavelet zero tree image coding scheme is put forward. The coefficients in the horizontal and vertical orientation sub images of all scales are reordered by the means of the transform because there are many big energy coefficients. The target of doing so is to produce new tree structure

to add the number of zero tree. And the significant wavelet coefficients in these sub images are concentrated in the low frequency area of the corresponding subbands. So the energy of these sub images is concentrated in the area of the corresponding left hand

and the con centration property of the new trees is good

and it can improve the encoding efficiency effectively. It also can improve the transmission rate of the significant coefficients. The results of the reconstruction images are good. And bit allocation is optimized and the peak signal to noise ratio ( PSNR ) of the reconstructed image is improved compared to embedded zero tree wavelet encoding(EZW) algorithm at the same bit ratio.