A Remote Sensing Image Compression Algorithm Based on Low-Complexity Embedded Zeroblock Coder

Shapiro J M. Embedded image coding using zerotrees of wavelet coefficients[J].IEEE Trans. on Signal Processing.1993, 41(12):3445-[2]Said A, Pearlman W A. A new, fast and efficient image codec based on set partitioning in hierarchical trees[J].IEEE Trans. on Circuits and Systems for Video Technology.1996,6(3):243-[3]Asad Islam, Pearlman W A. An embedded and efficient low-complexity hierarchical image coder, in Proc. .[J].of SPIE Vol.3653,Visual Communications and Image Processing 99:-[4]Strobach P. Quadtree-structured recursive plane decomposition coding of images[J].IEEE Trans. on Signal Processing.1991, 39(6):1380-[5]Sullivan G, Baker A. Efficient quadtree coding of images and video[J].IEEE Trans. on Image Processing.1994, 3(3):327-[6]Andrew J. A simple and efficient hierarchical image coder. IEEE Int. Conf. on Image Proc. (ICIP-97), Washington, DC, 1997, 3:658 - 661.[7]Hsiang S T, Woods J W. Embedded image coding using zeroblock of subband/wavelet coefficients and context modeling. IEEE Int.Conf. on Circuits and Systems (ISCAS2000), Geneva,Switzerland, 2000, 3:662 - 665.[8]Ordentlich E, Weinberger M, Seroussi G. A low-complexity modeling approach for embedded coding of wavelet coefficients.in Proc. 1998 IEEE Data Compression Conference, Snowbird,Utah, 1998:408 - 417.[9]Antonini M, Barlaud M, Mathieu P, Daubechies I. Image coding using wavelet transform[J].IEEE Trans. on Image Processing.1992,1(2):205-