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The study of image quality evaluation and compression method using contourlet transform  

Jang, Jun-Ho (Department of Electrical & Electronics Engineering, Dankook University)
Kim, Young-Seop (Department of Electronics Engineering, Dankook University)
Publication Information
Journal of the Semiconductor & Display Technology / v.9, no.4, 2010 , pp. 57-61 More about this Journal
Abstract
The wavelet transform was adopted as the transform for JPEG2000. However, wavelet has weakness about smoothness along the contours and limited directional information. So we use to other transform, called contourlet transform in compression. Objective quality assessment methods currently used Peak signal to noise Ratio(PSNR). But that is not very well matched to perceived visual quality. So new image quality assessment is required. In this paper, we propose a new method for image compression based on the contourlet transform, which has been recently introduced. In addition we evaluated compression image quality using PSNR and SSIM. Finally contourlet transform has a good result about images with smooth contours and SSIM is good method for image evaluation compared to PSNR.
Keywords
Contourlet Transform; Double Filter Bank; Laplacian Pyramid; Directional Filter Bank; SSIM;
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1 Z. Wang., "Rate scalable Foveated image and video communications," Ph.D. dissertation., Dept. Elect. Comput. Eng., Univ. Texas at Austin, Austin, TX, Dec. 2001.
2 Z. Wang and A. C. Bovik,, "A universal image quality index," IEEE Signal Processing Letters, vol. 9, pp. 81-84, Mar. 2002.   DOI   ScienceOn
3 Z. Wang and A. C. Bovik., "Modern Image Quality Assessment," Morgan & Claypool Publishers, Mar. 2006
4 Donoho, D. L., Vetterli, M., DeVore, R. A., and Daubechies, I., "Data compression and harmonic analysis," IEEE Trans, Inform, TH, vol. 44, no. 6, pp. 2435-2476, October 1998.   DOI   ScienceOn
5 Mallat, S., "A Wavelet Tour if Signal Processing, 2nded," Academic Press, 1999.
6 Z Wang, H. R. Sheikh., and A. C. Bovik., "Objective Video Quality Assessment: in the Handbook of Video Databases: Design and Application," B. Furht and O. Marqure (Editors), Boca Raton, Florida: CRC Press, pp. 1041-1078, Sept. 2003.
7 Z Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli., "Image Quality Assessment: From error visivility to structural simiarity," IEEE Trans, Image Processing, vol. 13, no. 4, pp. 600-612, Apr. 2004.   DOI   ScienceOn
8 M. N. Do., "Directional Multiresolution Image Representations," PhD thesis, Swiss Federal Institute of Technology, Lausanne, Switzerland, December 2001.
9 M. N. Do and M. Vetterli., "Pyramidal directional filter banks and curvelets," In Proc, IEEE Int., Conf, on Image Proc, Thessaloniki, Greece, Oct. 2001.
10 P. J. Burt and E. H. Adelson., "The Laplacian pyramid as compact image code," IEEE Trans., Commun., Vol. 31, No. 4, pp. 532-540, Apr., 1983   DOI
11 M. N. Do and M. Vetterli., "Framing pyramids," IEEE Tran s. Signal Proc., pp. 2329-2342, Sep. 2003
12 B. Girod., "What's wrong with mean-squared error in Digital Images and Human Vision," A. B. Watson, ed., pp. 207-220, MIT Press, 1993.
13 P. C. Teo and D. J. Heeger., "Perceptual image distortion," in Proc. SPIE, vol. 2179, 1994, pp. 127-141.
14 A. M. Eskicioglu and P. S. Fisher., "Image quality measures and their performance," IEEE Trans, Commun., vol. 43, pp. 2959-2965, Dec. 1995.   DOI   ScienceOn
15 M. P. Eckert and A. P. Bradley., "Perceptual quality metrics applied to still image compression.," Signal Processing, vol. 70, pp. 177-200, Nov. 1998.   DOI   ScienceOn
16 S. Winkler., "A perceptual distortion metric for digital color video," in Proc. SPIE, vol. 3644, 1999, pp. 175-184.