In this paper

a new image coding algorithm based on DWT and Coutourlet is proposed. Firstly

the wavelet transform is applied to the original image

and the directional filter banks(DFB) are employed to middle and high frequency subbands; Then

the lowest frequency coefficients are optimized according to the wavelet coefficients statistical properties; Thirdly

the new extended spatial orientation tree are constructed; Finally

the encoding scheme is realized by the idea ofSPIHT. The experimental results show that the presented image compression scheme performs better than thatof the state-of-art image coders(SPIHT

WBCT)

especially for low bit-rate and texture image.