Reversible, Embedded and Highly Scalable Image Compression System
In this work a new method for low complexity
image coding is presented, that permits different settings and great
scalability in the generation of the final bit stream. This coding
presents a continuous-tone still image compression system that
groups loss and lossless compression making use of finite arithmetic
reversible transforms. Both transformation in the space of color and
wavelet transformation are reversible. The transformed coefficients
are coded by means of a coding system in depending on a
subdivision into smaller components (CFDS) similar to the bit
importance codification. The subcomponents so obtained are
reordered by means of a highly configure alignment system
depending on the application that makes possible the re-configure of
the elements of the image and obtaining different importance levels
from which the bit stream will be generated. The subcomponents of
each importance level are coded using a variable length entropy
coding system (VBLm) that permits the generation of an embedded
bit stream. This bit stream supposes itself a bit stream that codes a
compressed still image. However, the use of a packing system on the
bit stream after the VBLm allows the realization of a final highly
scalable bit stream from a basic image level and one or several
improvement levels.
[1] J.M. Shapiro, "Embedded image coding using zerotrees of wavelet
coefficients" IEEE transactions of Signal Procesing, vol. 41, pp. 3445-
3462, Dec. 1993.
[2] A. Said and W.A. Pearlman, "A new, fast, and efficient image codec
based on set partitioning in hierarchical trees" IEEE Transactions on
Circuits and Systems for Video Technology, vol. 6, pp. 243-250, Jun.
1996.
[3] M.P. Boliek, M.J. Gormish, E.L. Schwartz and A.F. Keith, "RICOH
CREW Image Compression Standard" RICOH Silicon Valley, Inc., Mar.
1999
[4] ISO/IEC, ITU-T, "Information technology - JPEG2000 image coding
system" ITU-T Rec. T800, ISO/IEC 154444-1, 1999.
[5] ISO/IEC, "Information technology - Generic coding of audio-visual
objects: part 2 visual" ISO/IEC 14486-2, 2003.
[6] S. Mallat, "A wavelet tour of signal processing. Second edition",
Academic Press, San Diego, 1999
[7] R. Calderbank, I. Daubechies, W. Sweldens and B.L. Yeo, "Wavelet
transforms that map integers to integers", Journal of Applications and
Components, vol. 5, 1998
[8] W. Sweldens, "The lifting scheme: Construction of second generation
wavelets", SIAM Mathematical Analisys, vol. 29. No. 2, pp. 511-546,
1997
[9] M.D. Adams and F. Kossentini, "Reversible integer-to-integer wavelet
transform for image compression: Performance, evaluation and analysis"
IEEE Transactions on Image Processing, vol. 9, no. 6, Jun. 2000.
[10] S. Sahni, B.C. Vemuri, F. Chen, C. Kapoor, C. Leonard, J. Fitzsimmons,
"State of the art lossless image compression algorithms", IEEE
Proceedings of the International Conference on Image Processing,
Chicago, Illinois, pp. 948-952, Nov. 1998
[1] J.M. Shapiro, "Embedded image coding using zerotrees of wavelet
coefficients" IEEE transactions of Signal Procesing, vol. 41, pp. 3445-
3462, Dec. 1993.
[2] A. Said and W.A. Pearlman, "A new, fast, and efficient image codec
based on set partitioning in hierarchical trees" IEEE Transactions on
Circuits and Systems for Video Technology, vol. 6, pp. 243-250, Jun.
1996.
[3] M.P. Boliek, M.J. Gormish, E.L. Schwartz and A.F. Keith, "RICOH
CREW Image Compression Standard" RICOH Silicon Valley, Inc., Mar.
1999
[4] ISO/IEC, ITU-T, "Information technology - JPEG2000 image coding
system" ITU-T Rec. T800, ISO/IEC 154444-1, 1999.
[5] ISO/IEC, "Information technology - Generic coding of audio-visual
objects: part 2 visual" ISO/IEC 14486-2, 2003.
[6] S. Mallat, "A wavelet tour of signal processing. Second edition",
Academic Press, San Diego, 1999
[7] R. Calderbank, I. Daubechies, W. Sweldens and B.L. Yeo, "Wavelet
transforms that map integers to integers", Journal of Applications and
Components, vol. 5, 1998
[8] W. Sweldens, "The lifting scheme: Construction of second generation
wavelets", SIAM Mathematical Analisys, vol. 29. No. 2, pp. 511-546,
1997
[9] M.D. Adams and F. Kossentini, "Reversible integer-to-integer wavelet
transform for image compression: Performance, evaluation and analysis"
IEEE Transactions on Image Processing, vol. 9, no. 6, Jun. 2000.
[10] S. Sahni, B.C. Vemuri, F. Chen, C. Kapoor, C. Leonard, J. Fitzsimmons,
"State of the art lossless image compression algorithms", IEEE
Proceedings of the International Conference on Image Processing,
Chicago, Illinois, pp. 948-952, Nov. 1998
@article{"International Journal of Electrical, Electronic and Communication Sciences:56717", author = "Federico Pérez González and Iñaki Goirizelaia Ordorika and Pedro Iriondo Bengoa", title = "Reversible, Embedded and Highly Scalable Image Compression System", abstract = "In this work a new method for low complexity
image coding is presented, that permits different settings and great
scalability in the generation of the final bit stream. This coding
presents a continuous-tone still image compression system that
groups loss and lossless compression making use of finite arithmetic
reversible transforms. Both transformation in the space of color and
wavelet transformation are reversible. The transformed coefficients
are coded by means of a coding system in depending on a
subdivision into smaller components (CFDS) similar to the bit
importance codification. The subcomponents so obtained are
reordered by means of a highly configure alignment system
depending on the application that makes possible the re-configure of
the elements of the image and obtaining different importance levels
from which the bit stream will be generated. The subcomponents of
each importance level are coded using a variable length entropy
coding system (VBLm) that permits the generation of an embedded
bit stream. This bit stream supposes itself a bit stream that codes a
compressed still image. However, the use of a packing system on the
bit stream after the VBLm allows the realization of a final highly
scalable bit stream from a basic image level and one or several
improvement levels.", keywords = "Image compression, wavelet transform, highly
scalable, reversible transform, embedded, subcomponents.", volume = "2", number = "7", pages = "1444-5", }