The week's pick
Random Articles
Reseach Article
Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 54 - Number 8 |
| Year of Publication: 2012 |
| Authors: Navjot Kaur, Preeti Singh |
10.5120/8587-2338
|
Navjot Kaur, Preeti Singh . Enhancement of Compression Ratio and Image Quality using ISPIHT with MFHWT. International Journal of Computer Applications. 54, 8 ( September 2012), 20-23. DOI=10.5120/8587-2338
Abstract
This paper presents a new approach for compression of medical images with MFHWT (Modified Fast Haar Wavelet Transform) and SPIHT (Set Partitioning In Hierarchical Trees). It provide high compression ratio with high picture quality. The Modified Fast Haar Wavelet Transform is used to decompose the image at different frequency levels. It has high multi-resolution characteristics. The CR (compression ratio) of proposed method is better than existing method (SPIHT). Medical images have a number of regions where intensity is changing slowly or even have a constant value. Such regions are compressed with higher compression ratio. In medical applications image distortion is not acceptable. So the quality of the images is also improved in proposed method in terms of PSNR (Peak Signal to Noise Ratio).
References
- Wang, J. and H. K. Huang, 1996. Medical Image Compression by using Three-Dimensional Wavelet Transform. IEEE Transactions on Medical Imaging, 15(4): 547-554.
- Galli, A. W. , G. T. Heydt and P. F. Ribeiro, 1996. Exploring the Power of Wavelet Analysis. IEEE Computer Application in Power, pp: 37-41.
- A. Said, W. A. Pearlman. "A new, fast, and efficient image codec based on set partitioning in hierarchical trees". IEEE Trans. on Circuits and Systems for Video Technology, Vol. 6, No. 3, pp. 243-250, 1996.
- Menegaz, G. , L. Grewe and J. P. Thiran, 2000 Multirate Coding of 3D Medical Data in proceedings of the 2000 International Conference on Image Processing, IEEE, 3: 656-659. 9
- Bullmore, E. , J. Fadili, V. Maxim, L. Sendur, J. Suckling, B. Whitcher, M. Brammer and M. Breakspear, 2004. Magnetic Resonance Imaging of the Human Brain. 23(1): 234-249.
- Darius Mateika, Romanas Martavi?ius," analysis of the compression ratio and quality in medical inages" Department of Electronic Systems, Vilnius Gediminas Technical University Naugarduko 41, LT-03227 Vilnius, Lithuania, , 2006, Vol. 35, No. 4
- Phang Chang and Phang Piau,"Modified fast and Exact Algorithm for Fast Haar Transform," World Academy of Science, Engineering and Technology, 2007.
- U. S Ragupathy, D. Baskar , A. Tamilarasi,"New Method of Image Compression Using Multiwavelets and Set Partitioning Algorithm," on the third international conference on industrial and information systems, Kharagpur, IEEE 2008
- Jun-Ren Ding and Jar-Ferr Yang," A SIMPLIFIED SPIHT ALGORITHM" in Journal of the Chinese Institute of Engineers, Vol. 31, No. 4, pp. 715-719 (2008).
- Anuj Bhardwaj and Rashid Ali "Image compression using modified fast haar wavelet transform" World Applied Sciences Journal 7 (5): 647-653, 2009.
- B. Vijaya Lakshmi and Dr. M. Mathirajan "Reduce Memory Requirements by Handling Efficient" on International Conference of Signal and Image Processing, dec 2010
- Li Hui Fang Miao Guo Feng Xu Hou Jie," Images Compression Using Dual Tree Complex Wavelet Transform" on International Conference of Information Science and Management Engineering, 2010.
- Samsul Ariffin Abdul Karim, Bakri Abdul Karim,"Wavelet Transform and Fast Fourier Transform for signal Compression (A Comparative Study)" on international Conference on Electronic Devices, Systems and Applications (ICEDSA) in 2011.
Index Terms
Keywords