Implement hardware the quantization of the jpeg2000 encoder on FPGA
Corressponding author's email:
dongbt@hcmute.edu.vnKeywords:
Quantization, FDWT, JPEG2000, step size, sub-band, ROIAbstract
In the JPEG2000 standard for image compression, quantization is a necessary lossy tech-nique to significantly reduce bit number in all sub-bands. In this paper, mantissa and expo- nent coefficients have been found for the best solution for the 8-bit and 16-bit images in the JPEG2000 image compression standard. Furthermore, the method also divides image data into code-blocks sizing 16x16, 32x32, and 64x64. The code-block process supports the real time tier-2 encoding implementation. Experiment has been done on the FPGA to demonstrate the effectiveness of this proposed method. Matlab, Modelsim VCS tools and Quartus II tools have also been used for testing.
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References
ISO/IEC 15444-1, Information Technology-JPEG2000 Image Coding System, Part 1: Core Coding System., 2000.
TinkuAcharya and Ping-Sing Tai, “JPEG2000 Standard for Image Compression”:, Con- cepts, Algorithms and VLSI Architectures, New Jersey, U.S.A, 2005
Bach Tuan Dong, Ngo Thanh Dong, Nguyen Tuan Phuoc, Le My Ha “decreasing capac- ity of JPEG2000 standard image on fpga board” the 2nd international conference on green technology and sustainable development 2014. Ho Chi Minh City October.2014 pp.49-54.
Balster, E.J. Dept. of Electr. & Comput. Eng., Univ. of Dayton, Dayton, OH, USA Forten- er, B.T. ; Turri, W.F. “Integer computation of JPEG2000 wavelet transform and quantiza- tion for lossy compression” IEEE Conference, July 2010 pp 495-500
Han oi’, Ali Bilgin’:’, and Michael W Marcellin l ‘Department of Electrical and Com- puter Engineering, 2Biomedical Engineering The University of Arizona, Tucson, AZ, 85721, USA “Visibility thresholds for quantization distortion in JPEG2000” IEEE Con- ference, July 2009 PP 228 - 232
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