4Merhav M Feder. Relations between entropy and error probability [J]. IEEE Trans. Inform. Theory, 1994, 40 ( 1 ) :259-266.
5Rissanen J, Langdon G G. Universal modeling and coding[J].IEEE Trans. on Information Theory, 1981,27 (1) : 12-23.
6Rissanen J. Universal coding, information, prediction, and estimation [J]. IEEE Trans. on Information Theory, 1984,30(4) : 629-636.
7Weinberger M J, Rissanen J, Arps R. Applications of universal context modelling to lossless compression of gray-scale images[J]. IEEE Transactions on Image Processing, 1996,5(4):575-586.
8Said S, Pearlman W A. A new fast and efficient image codec based on set partitioning in hierarchical trees [J]. IEEE Transactions on Circuits and Systems for Video Tech. , 1996,6(1) :243-250.
9ISO-14495-1/ITU-T. 87 [S]- Lossless and near-lossless compression of continuous-tone still images.
10Weinberger M J, Seroussi G, Sapiro G. LOCO-I: A low complexity, context-based, lossless image compression algorithm [A]. In: Proceedings Data Compression Conference[C], Snowbird, Utah, USA, 1996:140-149.