Design and Implementation of 2D-DCT by Using Arai Algorithm for Image Compression

Authors

  • Pratiksha R. Kumbhare Department of Electronics &Telecommunication Engg, GHRITW, Nagpur, India
  • U. M. Gokhale Department of Electronics &Telecommunication Engg,GHRITW, Nagpur, India

DOI:

https://doi.org/10.53555/nneee.v2i3.212

Keywords:

Algebraic Integer, Discrete Cosine Transform (DCT), Arai DCT algorithm, Image compression

Abstract

Discrete Cosine Transform (DCT) exploits cosine functions; it transforms a signal from spatial representation into frequency domain. It is one of the most widely used techniques for the compression of the image. The main goal of image compression using DCT is the reduction or elimination of redundancy in data representation in order to achieve reduction in storage and communication cost. In this work, we proposed the low complexity architecture for the computation of an algebraic integer (AI) based 8-point DCT. The proposed approach is fast and provides low complexity.

References

Fausto Galvan, Giovanni Puglisi, Arcangelo Ranieri Bruna, and Sebastiano Battiato,“ First Quantization Matrix Estimation From Double Compressed JPEG Images,” IEEE Transactions On Information Forensics And Security, Vol. 9, No. 8,pp, 1299-1310, August 2014.

Hamdy M. Mousa, Mostafa A. Ahmad, and Ashraf B. El-Sisi,“ Image Compression Ratio Enhancement Based on Conformal Mapping ,” 978-1-4799-0080-0/13,pp 280-285,IEEE 2013.

Arjuna Madanayake, Renato J. Cintra, , Denis Onen, Vassil S. Dimitrov, Nilanka Rajapaksha, L. T. Bruton, and Amila Edirisuriya, “A RowParallel 8×8 2-D DCT Architecture Using Algebraic Integer-Based Exact Computation”, IEEE Transactions On Circuits And Systems For Video Technology, Vol. 22, No. 6, PP. 915-929,June 2012.

Smitha Joyce Pinto and Prof. Jayanand P.Gawande, “Performance analysis of medical image compression techniques”, 978-1-4673-2590-5/12, IEEE 2012.

H. L. P. Arjuna Madanayake , R. J. Cintra , D. Onen , V. S. Dimitrov and L. T. Bruton, “Algebraic Integer based 8×8 2-D DCT Architecture

for Digital Video Processing”, 978-1-4244-9474-3/11,PP. 1247-1250,IEEE 2011.

Hatim Anas, Said Belkouch, M. El Aakif and Noureddine Chabini, “FPGA Implementation Of A Pipelined 2D-DCT And Simplified

Quantization For Real-Time Applications”, 978-1-61284-732-0/11/$, IEEE 2010.

K. Wahid, V. Dimitrov, and G. Jullien, “Error-free computation of 8×8 2D DCT and IDCT using two-dimensional algebraic integer

quantization,” in Proceedings of the 17th IEEE Symposium on Computer Arithmetic. IEEE Computer Society, Jun. 2005, pp. 214–221.

Arai, Y., Agui, T., and Nakajima, M.: ‘A fast DCT-SQ scheme for images’, Trans. IEICE, 1988, E71, (11), pp. 1095–1097

Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing,3rd edn, Prentice Hall publication, South Asia,2009.

Jayaram. Bhasker , A VHDL Primer, 3rd edn , Prentice Hall publication, 2003.

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Published

2015-03-31

How to Cite

Kumbhare, P. R., & Gokhale, U. M. (2015). Design and Implementation of 2D-DCT by Using Arai Algorithm for Image Compression. Journal of Advance Research in Electrical & Electronics Engineering (ISSN 2208-2395), 2(3), 07-13. https://doi.org/10.53555/nneee.v2i3.212