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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29644


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12992
Effectiveness of Contourlet vs Wavelet Transform on Medical Image Compression: a Comparative Study
Abstract:
Discrete Wavelet Transform (DWT) has demonstrated far superior to previous Discrete Cosine Transform (DCT) and standard JPEG in natural as well as medical image compression. Due to its localization properties both in special and transform domain, the quantization error introduced in DWT does not propagate globally as in DCT. Moreover, DWT is a global approach that avoids block artifacts as in the JPEG. However, recent reports on natural image compression have shown the superior performance of contourlet transform, a new extension to the wavelet transform in two dimensions using nonseparable and directional filter banks, compared to DWT. It is mostly due to the optimality of contourlet in representing the edges when they are smooth curves. In this work, we investigate this fact for medical images, especially for CT images, which has not been reported yet. To do that, we propose a compression scheme in transform domain and compare the performance of both DWT and contourlet transform in PSNR for different compression ratios (CR) using this scheme. The results obtained using different type of computed tomography images show that the DWT has still good performance at lower CR but contourlet transform performs better at higher CR.
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References:

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[4] Subhasis Saha, "Image Compression - from DCT to Wavelets: A Review" Crossroads archive, Vol. 6 , No. 3, pp. 12-21, 2000.
[5] V. Velisavljevic, P. L. Dragotti, M. Vetterli, "Directional Wavelet Transforms and Frames", Proceedings of IEEE International Conference on Image Processing (ICIP2002), vol. 3, pp. 589-592, Rochester, USA, September 2002.
[6] S. Esakkirajan, T. Veerakumar, V.Senthil Murugan, R. Sudhakar, "Image compression using contourlet transform and multistage vector quantization", GVIP Journal, volume 6, Issue 1,pp.19-28, July 2006.
[7] M. N. Do, M. Vetterli, "The contourlet transform: An efficient directional multiresolution image representation", IEEE Transactions on Image Processing, no. 12, pp. 2091-2106, 2005.
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