Open Access Open Access  Restricted Access Subscription or Fee Access

Design and Development of Variable Quantization DCT Based Image Compression Algorithm for Embedded System Applications

Mahendra M. Dixit, Krutika S. Patil, Anjana M. Sanu, Priyatamkumar Priyatamkumar

Abstract


The recent growth of data intensive multimedia-based web applications have not only sustained the need for more efficient ways to encode signals and images, but have made compression of such signals central to storage and communication technology. For still image compression, the Joint Photographic Experts Group (JPEG) [1] standard has been established by International Standards Organization (ISO) and International Electro-Technical Commission (IEC). The performance of these coders generally degrades at low bit-rates mainly because of the underlying block-based Discrete Cosine Transform (DCT) [2] scheme. The proposed work explores the design and development of variable quantization DCT based image compression algorithm for embedded system applications. The performance of such algorithm is measured in terms of Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR) by considering variety of images such as gray scale, color images along with bio-medical images. The algorithm discussed here facilitates the image compression through variable quantization DCT for diverse usage.

Keywords


CR, DCT, PSNR, Quantization.

Full Text:

PDF

References


JPEG-2000, Verification Model 5.0, ISO/IEC JTC1/SC29/WG1N1420, 1999.

Rao, K. R. and Yip, P. Discrete Cosine Transforms Algorithms, Advantages, Applications, Academic Press, 1990.

MATHWORKS: MATLAB Central Website http://blogs.mathworks.com/steve/2006/08/11/discrete-cosine- transforms-jpeg-and-software-compatibility/

Colm Mulcahy, Image compression using the Haar Wavelet Transform, Spelman Science and Math Journal, pp22 – 31 review articles.

Y. Wongsawat, H. Ochoa, K.R. Rao, S. Oraintara, A Modified Hybrid DCT-SVD Image-Coding System for Color Image, International Symposium on Communications and Information Technologies ISCIT-2004, Sapporo, Japan.

Tienwei Tsai, Te-Wei Chiang and Yo-Ping Huang, An Efficient DCT- Based Image Retrieval Approach Using Distance Threshold Pruning, Journal of Advanced Computational Intelligence and Intelligent Informatics, Volume .12 No.3, 2008.

C. Kwan, B. Li, R. Xu,1 X. Li, T. Tran, and T. Nguyen, A Complete Image Compression Scheme Based on Overlapped Block Transform with Post-Processing, Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006, Article ID 10968, Pages 1–15 DOI 10.1155/ASP/2006/10968.

DCT-BASED IMAGE COMPRESSION, Vision Research and Image Sciences Laboratory http://visl.technion.ac.il

Lala Krikor, Image Encryption Using DCT and Stream Cipher, European Journal of Scientific Research ISSN 1450-216X Vol.32 No.12009, pp.47-57 © Euro Journals Publishing, Inc. http://www.eurojournals.com/ejsr.htm

Ramin Samadani, Characterizing and Estimating Block DCT Image Compression Quantization Parameters, Asilomar Conference on Signals, Systems, and Computers, November 2005, Pacific Grove, CA, USA © Copyright 2005 IEEE.

M. Jeyaprakash, FPGA Implementation of Discrete Wavelet Transform (DWT) for JPEG 2000, International Journal of Recent Trends in Engg., Vol 2, No. 6, November 2009.

Mr. Mahendra M. Dixit, Prof. Priyatamkumar and Dr. Vijaya C. “Computational Analysis of Adaptive Singular Value Decomposition Algorithm to 2D and 3D Still Image Compression Application”, ICCCCT-10, IEEE-Xplore, with 978-1- 4244-7768-5/10, ©2010 IEEE ISBN, pp. 482 - 487


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.