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Reseach Article

Wavelet and JPEG Based Image Compression: An Experimental Analysis

Published on March 2012 by Jayavrinda Vrindavanam, Saravanan Chandran, Gautam K. Mahanti
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET2012 - Number 7
March 2012
Authors: Jayavrinda Vrindavanam, Saravanan Chandran, Gautam K. Mahanti
8ce34fb8-5f5e-4384-8966-9e9aa1d57811

Jayavrinda Vrindavanam, Saravanan Chandran, Gautam K. Mahanti . Wavelet and JPEG Based Image Compression: An Experimental Analysis. International Conference and Workshop on Emerging Trends in Technology. ICWET2012, 7 (March 2012), 36-42.

@article{
author = { Jayavrinda Vrindavanam, Saravanan Chandran, Gautam K. Mahanti },
title = { Wavelet and JPEG Based Image Compression: An Experimental Analysis },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { March 2012 },
volume = { ICWET2012 },
number = { 7 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 36-42 },
numpages = 7,
url = { /proceedings/icwet2012/number7/5364-1055/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Jayavrinda Vrindavanam
%A Saravanan Chandran
%A Gautam K. Mahanti
%T Wavelet and JPEG Based Image Compression: An Experimental Analysis
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET2012
%N 7
%P 36-42
%D 2012
%I International Journal of Computer Applications
Abstract

The paper attempts a comparison between JPEG and JPEG2000 –wavelet- based image compression based on the output from different images. Also the PSNR values are compared for different images. The paper also reviews the recent advancements in this area after the introduction of JPEG2000 so as to bring out the further research prospects in the field of image compression

References
  1. Julein Reichel, G. M. (2001). Integer Wavelet Transform for Embedded Lossy to Lossless Image Compression. IEEE Transactions on Image Processing , Vol. 10, No. 3, March.
  2. Gobbers, P. V.-F. (2002). Directional Dhyadic Wavelet Transforms: Design and Algorithms. IEEE Transactions on Image Processing , Vol. 11, No 4, April.
  3. Querioz, Z. F. (2003). Identificaiton of Bitmap Compression History: JPEG Detection and Quantizer Estimation. IEEE Transactions on Image Processing , Vol. 12, No. 2, February.
  4. Michael Liebling, T. B. (2003). Fresnelets: New Multiresolution Wavelet Bases for Digital Holography. IEEE Transactions on Image Processing , Vol. 12, No. 1, January.
  5. Marcus J. Nadenau, J. R. (2003). Wavelet Based Colour Image Compression: Exploiting the Contrast Sensitivity Function. IEEE Transactions on Image Processing , Vol. 12, No. 1, January.
  6. Blu, M. U. (2003). Mathematical Properties of the JPEG - 2000 Wavelet filters. IEEE , Vol.12, No.9, September.
  7. Li, X. (2003). On Exploiting Geometric Constraint of Image Wavelet Coefficients. IEEE Transaction on Image Processing , Vol. 12, No. 11, November.
  8. Eugenia Al Politou, G. P. (2004). JPEG 2000 and Dissemination of Cultural Heritage over the Internet. IEEE Transactions on Image Processing , Vol. 13, No. 3, March.
  9. Ng, A. A. (2005). A steerable Complex Wavelet Construction and its application to Image Denoising. IEEE Transactions on Image Processing , Vol. 14, No. 7, July.
  10. Ning, J. Z. (2005). Image Denoising Based on Wavelets and Multifractals for singularity Detection. IEEE Transactions on Image Processing , Vol. 14, No. 10, October.
  11. Oliver J. Malumbes, M. (2006). Low - Complexity Multiresolution Image Compression Using wavelet lower trees. IEEE Transactions on Circuits and Systems and Video Technology , Vo. No. 16, November.
  12. Cruz, Y. L. (2006). A Fast and Efficient Hybrid Fractal - Wavelet Image Coder. IEEE Transactions on Image Processing , Vol 15, No.1, January.
  13. Mahul P Sampat, Z. W. (2009). Complex Wavelet Structural Similarity: A new Image Similarity Index. IEEE ,Vol. 18, No. 11, November.
  14. Longji, W. E.-h. (2009). Joint Optimization of Run-Length coding, Huffman coding and Quantization Table with Complete Baseline JPEG Decoder Compatibility. IEEE Transactions on Image Processing , Vol 18, No. 1, January.
  15. Rahul Raguram, M. W. (2009). Improved Resolution Scalability for Bi Level Image Data in JPEG - 2000. IEEE Transactions on Image Processing , Vol. 18, No. 4, April.
  16. Sonja Grgic, M. M. ( 2001). Comparison of JPEG Image Coders. Proceedings of the 3rd International symposium on Video Processing and Multimedia Communications, June, (pp. 79-85). Zadar, Croatia.
  17. Austin, D. (2011, May). Image Compression: Seeing wht's not there,. Feature Column, American Mathematical Society .
  18. Ram Singh, R. V. JPEG 2000: Wavelet Based Image Compression. IIT, Mumbai: EE678 Wavelet Application Assignment 1.
  19. Florian, B. (2001). Wavelet in real time digital audio processing: Analysis and sample implementations. Dept. of Computer Science, Master's thesis, University of Mannheim.
  20. Strang, G., & Nguyen, T. (1996). Wavelets and filter banks. Wellesley: Cambridge Press.
  21. De Poli, G., Piccialli, A., & Roads, C. (1991). Representation of musical signals. In Representation of musical signals. MIT Press.
  22. Barraniuk, H. C. (2001). Multiscale Image Segmentation using wavelet-Domain - Hidden Markov Models. IEEE Transactions on Image Processing , Vol. 10, No. 9, September.
Index Terms

Computer Science
Information Sciences

Keywords

JPEG JPEG2000 image compression wavelet DCT