A Wavelet Based Approach for Near-Lossless Image Compression Using Logarithmic Transformation


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


Wavelet based near-lossless compression techniques are limited in the literature.  In this paper, a new approach for the near-lossless compression of images based on the wavelet transform is presented. Initially, the source image is pre-processed using a logarithmic transformation technique to generate a near-lossless image. The logarithmic transformation stage is followed by a second generation wavelet coding and a Huffman entropy coding. Inverse techniques are applied to get the decompressed image. Objective quality parameters are used to analyze the performance of the proposed method and the results are compared with those of the other near-lossless coders like the JPEG-LS and CALIC. The proposed method outperforms these near-lossless image coders, in terms of the PSNR at all error levels. The bit rates obtained are also comparable.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Image Compression; Logarithmic Transformation; Near-Lossless; Pre-Transformation; Second Generation Wavelets; Structural Similarity Index

Full Text:

PDF


References


Rashid Ansari, Nasir Memon and Ersan Ceran, Near-lossless Image Compression Techniques, Journal of Electron Imaging, Vol. 7, no.3, pp. 486-494,1998.

M. J. Weinberger, G. Seroussi, G. Sapiro, The LOCO-I Lossless Image Compression Algorithm: Principles and Standardization into JPEG-LS, IEEE Transactions on Image Processing, Vol. 9, no. 8, pp. 1309-1323, 2000.

J. Scharcanski, Lossless and Near-Lossless Compression for Mammographic Digital Images, Proceedings of the IEEE International Conference on Image Processing ( Page: 2253-2256, Year:2006, ISBN: 06CH37815).

M. Domanski, K. Rakowski, Lossless and near-lossless image compression with color transformations, Proceedings of the International Conference on Image Processing(Page: 454-457, Year:2001, ISBN: 978-1-4673-2534-9).

E. Nasr-Esfahani, S. Samavi, N. Karimi, S. Shirani, Near-Lossless Image Compression Based on Maximization of Run Length Sequences, Proceedings of the International Conference on Image Processing , (Page:177-180, year: 2007, ISBN: 978-1-4244-1437-6).

I. Avcibas, N. Memon, Lossless and near-lossless image compression with successive refinement, Proceedings of the Visual Communications and Image Processing,(Page: 41-52, Year:2001, ISBN: 9780819439888).

I. Avcibas, N. Memon, B.Sankur, K.Sayood, A Progressive Lossless/Near-Lossless Image Compression Algorithm, IEEE Signal Processing Letters, Vol.9, no.10, pp.312-314, 2002.

K.Srinivasan and M.Ramasubba Reddy, Wavelet domain L∞ constrained two stage near-lossless EEG coder, Proceedings of the Communication in Computer and Information Science, (Page: 76-80, Year:2010, ISBN: 978-3-642-12213-2).

A. Krivoulets, A Method For Progressive Near-Lossless Image Compression, Proceedings of the IEEE International Conference on Image Processing, (Page: 185-188, Year: 2003, ISBN: 0-7803-7750-8).

D. Marpe, G. Blattermann, J. Ricke, and P. Maab, A Two-Layered Wavelet-Based Algorithm for Efficient Lossless and Lossy Image Compression, IEEE Transactions on Circuits, Systems and Video Technology, Vol. 10, pp. 1094-1102, 2000.

Yea and W. A. Pearlman, A Wavelet-Based Two-Stage Near-Lossless Coder, IEEE Transactions on Image Processing, Vol. 15, no. 11, pp. 3488-3500, 2006.

A. Said and W. Pearlman, New, Fast and Efficient Image Codec Based on Set Partitioning In Hierarchical Trees, IEEE Transactions on Circuits, Systems and Video Technologies, Vol. 6, pp. 243-250, 1996.

J.M. Shapiro, Embedded Image Coding using Zerotrees of Wavelet Coefficients, IEEE Transactions on Signal Processing, Vol. 41, pp. 3445-3462, 1993.

D. S. Taubman, High Performance Scalable Image Compression with EBCOT, IEEE Transactions on Image Processing, Vol. 9, pp. 1158-1170, 2000.

S. Hsiang and J. W.Woods, Embedded Image Coding Using Zeroblocks of Subband/Wavelet Coefficients and Context Modeling, Proceedings of the IEEE International Symposium on Circuits and Systems, (Page: 662-665, Year:2000, ISBN: 0-7803-5482-6).

W. A. Pearlman, A. Islam, N. Nagaraj, A. Said, Efficient, Low Complexity Image Coding with a Set-Partitioning Embedded Block Coder, IEEE Transactions on Circuits, Systems and Video Technology, Vol.14, pp. 1219- 1235, 2004.

Beladgham, M., Bessaid, A., Moulay-Lakhdar, A., Taleb-Ahmed, A., Medical image compression using quincunx wavelets and VQ coding, (2010) International Review on Computers and Software (IRECOS), 5 (6), pp. 601-608.

W. Bellil, C. Ben Amar, A. M. Alimi, Multi Library Wavelet Neural Network for Lossless Image Compression, (2007) International Review on Computers and Software (IRECOS), 2 (5), pp. 520 – 526.

F. Hossain, M.R. Alsharif, Image Enhancement Based on Logarithmic Transform Coefficient and Adaptive Histogram Equalization, Proceedings of the International Conference on Convergence Information Technology, (Page: 1439-1444, Year: 2007, ISBN: 0-7695-3038-9).

S. C. Huang, L.G.Chen, H.C.Chang, A Novel Image Compression Algorithm by using Log-Exp Transform, IEEE Symposium on Circuits and Systems, pp. 17-20, 1999.

Natarajan Somasundaram, Y. V. Ramana Rao, Modified LOG-EXP Based Image Compression Algorithm, International Journal of Computer Science and Network Security, Vol.8, pp.179-184, 2008.

N.K. Bose, M.B. Chappalli, A Second-Generation Wavelet Framework for Super-Resolution with Noise Filtering, International Journal of Information Systems and Technologies, Vol.4, no. 2, pp. 84-89, 2004.

A. R. Calderbank, I. Daubechies, W. Sweldens, B.L. Yeo, Lossless Image Compression using Integer to Integer Wavelet Transforms, Proceedings of the IEEE International Conference on Image Processing,(Page: 596–599, Year:1997, ISBN: 978-1-60558-323-5).

M.D. Adams, F. Kossentini, Reversible Interger-to-Interger Wavelet Transforms for Image Compression: Performance Evaluation and Analysis, IEEE Transactions on Image Processing, Vol.9, no.6, pp. 1010-1024, 2000.

Zhou Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image Quality Assessment: From Error Visibility To Structural Similarity, IEEE Transactions on Image Processing, Vol.13, no.4, pp.600-612, 2004.

A. Hore, D. Ziou, Image Quality Metrics: PSNR vs. SSIM, Proceedings of the 20th International Conference on Pattern Recognition, (Page: 2366-2369, Year: 2010, ISBN: 978-0-7695-4109-9).


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize