Wavelet image compression techniques based on bit-plane adaptive binary arithmetic coding

[in Chinese]; [in Chinese]; [in Chinese]

[3] MALLAT S A. Theory for multiresolution signal decomposition: the wavelet representation [J]. IEEE Trans PAMI, 1989, 11(7): 674-693.

[4] VILLASENOR J D, BELLZER B, LIAO B. Wavelet filter evaluation for image compression [J]. IEEE Trans. on Image Processing, 1995, 4(8): 1053-1060.

[5] ISO/IEC 15444-1: Information technology-JPEG 2000 image coding system-Part 1[S]. [s.l.]: [s.n.], 2000.

[6] RISASSEN J J, LANGDON G G. Arithmetic coding [J]. IBM J. Research and Development, 1979, 23(2): 149-162.

[7] LANGDON G G, RISSANEN J. Compression of black-white images with arithmetic coding [J]. IEEE Trans. Communications. 1981, 29 (6): 858-867.

[8] HOWARD P G, VITTER J S. Arithmetic Coding for Data Compression [J]. Proceedings of the IEEE, 1994, 82(6): 857-865.

[10] PENNEBAKER W B, MITCHELL J L, LANGDON G G, et al. An Overview of the Basic Principles of the Q-Coder Adaptive Binary Arithmetic Coder[J]. IBM J. Res. Develop, 1988, 32(6): 717-726.

[11] WITTEN I H, NEAL R M, CLEARY J G. Arithmetic coding for data compression [J]. Communications of the ACM, 1987, 30(6): 520-540.

[12] BRADY N, BOSSE F, MURPHY N. Context-based arithmetic encoding for compressing 2D shape sequences [J]. IEEE International Conference on Image Processing, 1997, 1(10): 29-32.