International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Po-Yueh Chen* and Jia-Yu Chang

Department of Computer Science and Information Engineering, National Changhua University of Education, No. 2 Shi-Da Road, Changhua City, Taiwan


 

Download Citation: |
Download PDF


ABSTRACT


Two-dimensional Discrete Wavelet Transform (2-D DWT) is an effective tool for image compression and hence attracts much attention in recent years. In this paper, we propose an adaptive quantization approach which quantizes the DWT coefficients according to their characteristics. Unlike the uniform quantization which uses a fixed quantization interval, the proposed scheme applies two asymmetric interval widths to one single sub-band. According to the experiment results, it leads to a superior image quality while maintaining the same compression ratio.


Keywords: Image compression; quantization; DWT coefficients


Share this article with your colleagues

 


REFERENCES


[1] Pennebaker, W. B. and Mitchell, J. L. 1993. “JPEG: Still Image Data Compression Standard”. Van Nostrand Reinhold. NY.

[2] ISO/IEC 10918-3 and ITU-T Recommendation T. 81, 1996. Information technology- digital compression and coding of continuous-tone still image: extensions.

[3] ISO/IEC 15444, 2000. Information Technology: JPEG2000 image coding system.

[4] Balster, E. J., Fortener, B. T., and Turri, W. F. 2010. “Rate-distortion development for optimal truncation in JPEG2000 imagery”. Proceeding of the 4th International Symposium on Communications, Control and Signal Processing (ISCCSP).

[5] Tsai, P. S. and Suzuki, R. 2008. “Graphics Image Compression Using JPEG2000”. IEEE computer society Congress on Image and Signal Processing.

[6] Christopoulos, C., Skodras, A., and Ebrahimi, T. 2000. The JPEG 2000 still image coding system: an overview. IEEE Transactions on Consumer Electronics, 46: 1103-1127.

[7] Diego, S. C. and Ebrahimi, T. 2000. An Analytical Study of JPEG2000 Functionalities. IEEE Conference on Image Processing, 2:49-52.

[8] Moccagatta, I., Soudagar, S., Liang, J., and Chen, H. 2000. Error Resilient Coding in JPEG2000 and MPEG4. IEEE Journal on Selected Areas in Communications, 18: 899-914.

[9] Christopoulos, C., Askelof, J., and Larsson, M. 2000. Efficient Methods for Encoding region of Interest in the Upcoming JPEG2000 Still Image Coding Standard. IEEE Signal Processing Letters, 7: 247-249.

[10] Biligin, A., Sementilli, P. J., and Marcellin, M. W. 1999. Progressive Image Coding Using Trellis Coded Quantization. IEEE Transactions on Image Processing, 8: 1638-1643.

[11] Jiang, W. and Ortega, A. 2001. Lifting Factorization-Based Discrete Wavelet Transform Architecture Design. IEEE Transactions on Circuits and Systems for Video Technology, 11: 651-657.

[12] Chen, P. Y. and Liao, E. C. 2002. A New Algorithm for Haar Wavelet Transform, IEEE International Symposium on Intelligent Signal Processing and Communication System.

[13] Li, B. F., Dou, Y., and Shao, Q. 2008. Efficient Memory Subsystem for High Throughput JPEG2000 2D-DWT Encoder. 2008 Congress on Image and Signal Processing, 1: 529-533.

[14] Albanesi, M. G. and Guerrini, F. 2003. An HVS-based adaptive coder for perceptually lossy image compression. Pattern Recognition, 36: 997-1007.

[15] Fujiyoshi, M. and Kiya, H. 2004. An image-quality guaranteed method for quantization-based watermarking using a DWT. 2004 International Conference on Image Processing (ICIP), 4: 2629-2632.

[16] Phadikar, A., Maity, S. P., and Kundu, M. K. 2008. Quantization Based Data Hiding Scheme for Efficient Quality Access Control of Images Using DWT via Lifting. Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

[17] Chen, P. Y., Wu, S. H., and Chen, G. F. 2007. An Adaptive Quantization Scheme for JPEG2000. 2007 6th Symposium on Management of Information Technology and Personal Training.


ARTICLE INFORMATION


Received: 2011-11-02
Revised: 2012-03-22
Accepted: 2012-10-25
Available Online: 2013-03-01


Cite this article:

Chen, P.Y., Chang, J.Y. 2013. An adaptive quantization scheme for 2-D DWT coefficients. International Journal of Applied Science and Engineering, 11, 85–100. https://doi.org/10.6703/IJASE.2013.11(1).85