Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm
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10.5120/18222-9352 |
Anurodh Kumar, Rajeevthakur and Lalit Jain. Article: Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm. International Journal of Computer Applications 104(8):15-20, October 2014. Full text available. BibTeX
@article{key:article,
author = {Anurodh Kumar and Rajeevthakur and Lalit Jain},
title = {Article: Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {104},
number = {8},
pages = {15-20},
month = {October},
note = {Full text available}
}
Abstract
The near future of image processing techniques state the compatibility issues of applied algorithms with storage techniques and data transmission across noisy environment. Image compression is a vital element that is employed due to its characteristics of image size reduction without considerable data loss. This paper employs an SAR image compression technique based on CDF 5/3 in unison with bit plane algorithm. The CDF 5/3 encodes the real images converted by fast Fourier transform (FFT). The performance analysis is observed by changing in BPP (Bit per pixel) for a given image and based on varying BPP peak signal-to-noise ratio (PSNR) and (Mean square Error) MSE.
References
- M. Antonini, M. Barlaud, P. Mathieu, I. Daubechies. Image coding using wavelet transform. IEEE Trans. Image Proc. , Vol. 5, No. 1, pp. 205-220, 1992.
- M. Antonini, M. Barlaud, P. Mathieu, I. Daubechies. Image coding using wavelet transform. IEEE Trans. Image Proc. , Vol. 5, No. 1, pp. 205-220, 1992.
- IEEE Trans. Geosci. Remote Sens. , vol. 49, no. 1, pp. 236–250, Jan. 2011.
- W. Ding, F. Wu, and X. Wu, "Adaptive directional lifting-based wavelet transform for image coding," IEEE Trans. Image Process. , vol. 16, no. 2, pp. 416–427, Feb. 2007.
- Y. Liu and K. N. Ngan, "Weighted adaptive lifting-based wavelet transform for image coding," IEEE Trans. Image Process. , vol. 17, no. 4, pp. 500–511, Apr. 2008.
- X. S. Hou, G. F. Jiang, R. Ji, and C. L. Shi, "Directional lifting wavelet and universal trellis coded quantization based image coding algorithm and objective quality evaluation," IET Image Process. , vol. 5, no. 8, pp. 693–702, Dec. 2011.
- Mohammed Hamzah Abed, C. Namrata Mahender, "SAR Image Compression using SPIHT Algorithm", International Journal of Computer Applications (0975 – 8887) Volume 22– No. 8, May 2011.
- G. Chenchu Krishnaiah, T. Jaya Chandra prasadM. N. giri prasad, "Efficient Image Compression Algorithms Using Evolved Wavelets", International Journal of Systems and Technologies (ISSN: 0974-5815) Vol. 4, No. 2, pp 127-146, 2011.
- J. Malý, P. Rajmic, "DWT-SPIHT Image Codec Implementation",
- A. Said and W. Pearlman, "A new fast and efficient image codec based on set partitioning in hierarchical trees," IEEE Trans. Circuits and Syst. for Video Technol. , vol. 6, pp. 243–250, Jun1996.
- Z. Xiong, K. Ramchandran, and M. Orchard,"Space-frequency quantization for wavelet image coding". IEEE Trans. Image Processing, vol. 6, no. 5, May 1997, 677–693.
- M. Beladgham, A. Bessaid, A. Moulay-Lakhdar, M. Ben Aissa, A. Bassou, "MRI Image compression using biorthogonal CDFwavelet based on lifting scheme and SPIHT coding"Quatrième Conférence International sur le Génie Electrique CIGE'10, 03-04 November 2010.
- A. Jensen, A. la Cour-Harbo: Ripples in Mathematics, Springer, 2001.