RV-Media Announces JPEG2000 SDK!

[general12]

RV-Media Has presented the implementation of new technology of coding of digital images and video. According to general director RV-Media Rinat Yanyshev:"Our company considers, that the community of the largest companies of the digital industry in the near future will pass on format Jpeg2000. We shall aspire to that process of transition to new technology was much more painless and more favourable both to our company and for its customers".

The new standard gives set of opportunities, both for end users, and for professionals of video industry. Besides the standard initially intending for coding of digital images, has grandiose prospects in sphere of a digital photo, Internet applications, and mobile applications. The format has all chances to revolutionise integration the Internet of applications and mobile devices as allows, once having coded the image, to give the user an opportunity to receive it in various resolutions, with various quality, etc., being based on opportunities of the device and bandwidth of the telecommunication equipment.
RV-Media Has issued on the market the free-of-charge version of the components and intends further strenuously to develop this direction of development. Supervising persons of the company declare that to the end of year will be ready commercial decisions for coding images and video optimized under various problems, with use of the advanced technologies.

At the moment SDK includes the following opportunities:

-Supports RGB, Grayscale images, ICC profiles

-High level C ++ libraries for decoding

-Full DCI compliance (ISO/IEC15444-1 Profile-3 and Profile-4)

-Multi-resolution decoding (decoding of thumbnails)

-Additional decoder options to fine tune speed/quality ratio


RV-Media Also conducts development on porting SDK under various platforms. It is actively developed versions DSP of codecs.

For further information, please visit RV-Media's website at www.rv-media.net .

[BJ_M]

it is a public standard - used extensively already in D-cinema and luraweave and in some printing and photo applications ..


some ref.. http://www.jpeg.org/jpeg2000/

1. A. Zandi, J. D. Allen, E. L. Schwartz, and M. Boliek, “CREW: Compression with
reversible embedded wavelets,” Proc. of IEEE Data Compression Conference,
Snowbird, Utah, pp. 212-221, March 1995.
2. M. Boliek, M. Gormish, E. L. Schwartz, and A. F. Keith, “Decoding compression
with reversible embedded wavelets (CREW) codestreams,” Journal of Electronic
Imaging, vol. 7, no. 3, pp. 402-209, July 1998.
3. M. Weinberger, G. Seroussi, and G. Sapiro, “The LOCO-I lossless image
compression algorithm: principles and standardization into JPEG-LS,” submitted to
IEEE Trans. on Image Proc.
4. M. Boliek, “New work item proposal: JPEG2000 image coding system,” ISO/IEC
JTC1/SC 29/WG1 N390, June 1996.
5. J. Shapiro, “Embedded image coding using zerotrees of wavelet coefficients,” IEEE
Trans. on Sig. Proc., vol. 41, no. 12, pp. 3445-3462, Dec. 1993.
6. D. Taubman and A. Zakhor, “Multirate 3-D subband coding of video,” IEEE Trans.
18
on Image Proc., vol. 3, no. 5, pp. 572-588, Sept. 1994.
7. A. Said and W. A. Pearlman, “A new fast and efficient image codec based on set
partitioning in hierarchical trees,” IEEE Trans. on Circuits and Systems for Video
Tech., vol. 6, no. 3, pp. 243-250, June 1996.
8. “Call for contributions for JPEG 2000 (JTC 1.29.14, 15444): image coding system,”
ISO/IEC JTC1/SC 29/WG1 N505, March 1997.
9. M. W. Marcellin and T. R. Fischer, “Trellis coded quantization of memoryless and
Gauss-Markov sources,” IEEE Trans. on Commun., vol. 38, no. 1, pp. 82-93, Jan
1990.
10. J. H. Kasner, M. W. Marcellin, B. R. Hunt, “Universal trellis coded quantization,”
IEEE Trans. on Image Proc., vol. 8, no. 12, pp. 1677-1687, Dec. 1999.
11. J. Li, P. Cheng, and C.-C. J. Kuo, “On the improvements of embedded zerotree
wavelet (EZW) coding,” in Proc. SPIE, Vis. Comm. and Image Proc., vol. 2601, pp.
1490-1501, Taipei, Taiwan, May 1995.
12. J. Li and S. Lei, “Rate-distortion optimized embedding,” Proc. of Picture Coding
Symposium, pp. 201-206, 1997.
13. E. Ordentlich, M. Weinberger, and G. Seroussi, “A low-complexity modeling
approach for embedded coding of wavelet coefficients,” Proc. of IEEE Data
Compression Conf., pp. 408-417, 1998.
14. P. J. Sementilli, A. Bilgin, J. H. Kasner, M. W. Marcellin, “Wavelet TCQ: submission
to JPEG-2000,” Proc. of SPIE, Appl. of Digital Image Proc., pp. 2-12, July 1998.
15. W. B. Pennebaker and J. L. Mitchell, JPEG still image data compression standard,
Van Nostrand Reinhold, New York, 1993.
16. A. Said and W. A. Pearlman, “An image multiresolution representation for lossless
and lossy compression,” IEEE Trans. Image Proc., vol. 5, no. 9, pp. 1303-1310, Sept.
1996.
17. C. Christopoulos, “JPEG-2000 verification model 2.0 (technical description),”
ISO/IEC JTC 1/SC 29/WG 1 N988, Oct. 1998.
18. D. Speck, “New options in radix-255 arithmetic coder,” ISO/IEC JTC1/SC 29/WG1
N482R, March 1997.
19. D. Taubman, “Report on coding experiment codeff22: EBCOT (Embedded block
coding with optimized truncation),” ISO/IEC JTC1/SC 29/WG1 N1020R, October
1998.
20. D. Taubman, “High performance scalable image compression with EBCOT,” to
appear in IEEE Trans. on Image Proc.
21. SAIC/UA, HP/UNSW, HP, WSU, Kodak, “Report on core experiments codEff4,
codEff5 and codEff7: reduced complexity entropy coding,” ISO/IEC JTC1/SC
29/WG1 N1312, June 1999.
22. M. J. Gormish, E. L. Schwartz, A. Keith, M. Boliek, and A. Zandi, “Lossless and
nearly lossless compression for high quality images,” Proc. of SPIE, Very High
Resolution and Quality Imaging II, pp. 62-70, February 1997.
23. M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, “Image coding using
wavelet transform,” IEEE Trans. on Image Proc., vol. 1, no. 2, pp 205-220, Apr.
1992.
24. R. Calderbank, I. Daubechies, W. Sweldens, and B.-L. Yeo, “Wavelet transforms that
map integers to integers,” Journal of Appl. and Comp. Harmon. Analy., vol. 5, pp.
19
332-369, 1998.
25. Chrysafis and A. Ortega, “Line based, reduced memory, wavelet image
compression,” Proc. of IEEE Data Compression Conf., pp. 398-407, 1998.
26. Motorola Australia and UBC, “Report on core experiment codeff1: complexity
reduction of SSWT,” ISO/IEC JTC1/SC 29/WG1 N1003, November 1998.
27. Canon Research France, Motorola Australia and Hewlett Packard, “Report on Core
Experiment CodEff11: Reduced overlap in SSWT,” ISO/IEC JTC1/SC 29/WG1
N1189, March 1999.
28. “Information technology - coded representation of picture and audio information -
lossy/lossless coding of bi-level images,” 14492 Final Committee Draft, ISO/IEC
JTC1/SC 29/WG1 N1359, July 1999.