Abstract
In order to apply the Human Visual System (HVS) model to JPEG2000 standard, several implementation alternatives are discussed and a new scheme of visual optimization is introduced with modifying the slope of rate-distortion. The novelty is that the method of visual weighting is not lifting the coefficients in wavelet domain, but is complemented by code stream organization. It remains all the features of Embedded Block Coding with Optimized Truncation (EBCOT) such as resolution progressive, good robust for error bit spread and compatibility of lossless compression. Well performed than other methods, it keeps the shortest standard code-stream and decompression time and owns the ability of VIsual Progressive (VIP) coding.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
C. Christopoulos, A. Skodrsa, T. Ebrahimi, The JPEG2000 still image coding system: An overview, IEEE Trans. on Consumer Electronics, 46(2000)4, 1103–1127.
P. Jones, S. Daly, R. Gaborski, M. Rabbani, Comparative study of wavelet and DCT decompositions with equivalent quantization and encoding strategies for medical images, Proceedings of the SPIE, San Diego, CA, USA, 1995, Vol.2431, 571–582.
Watson, G. Yang, J. Solomon, J. Villasenor, Visibility of wavelet quantization noise, IEEE Trans. on Image Proc., 6(1997)8, 1164–1175.
T. O’Rourke, R. Stevenson, Human visual system based wavelet decomposition for image compression, VCIP, 1995, Vol.6, 109–121.
J. Li, S. Lei, An embedded still image coder with rate-distortion optimization, SPIE: Visual Communication and Image Processing, San Jose, CA, 1998, 1, Vol.3309, 36–47.
P. Andrew, Wavelet-based image compression using human visual system models, Master thesis, The Virginia Institute and State University, 2001.
Author information
Authors and Affiliations
Additional information
Sponsored by the Defense Research Fund (J20.12.1.DZ01) and Advance Project of Defense Communication (41001032)
Communication author: Xiao Jiang, born in 1974, male, doctor candidate. ISN National Key Lab, Xidian University, Xi’an 710071, China.
About this article
Cite this article
Xiao, J., Wu, C. JPEG2000 compression coding using human visual system model. J. of Electron.(China) 22, 53–58 (2005). https://doi.org/10.1007/BF02687951
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02687951