반도체디스플레이기술학회지 (Journal of the Semiconductor & Display Technology)

한국반도체디스플레이기술학회 (The Korean Society Of Semiconductor & Display Technology)
권호 표지

정지 영상 화질 평가와 Contourlet 변환을 이용한 압축 방법에 관한 연구

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

  • 장준호 (단국대학교 대학원 전자전기공학과) ;
  • 김영섭 (단국대학교 전자공학과)
  • Jang, Jun-Ho (Department of Electrical & Electronics Engineering, Dankook University) ;
  • Kim, Young-Seop (Department of Electronics Engineering, Dankook University)
  • 투고 : 2010.11.30
  • 심사 : 2010.12.17
  • 발행 : 2010.12.31
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초록

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.

키워드

참고문헌

  1. 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. https://doi.org/10.1109/18.720544
  2. Mallat, S., "A Wavelet Tour if Signal Processing, 2nded," Academic Press, 1999.
  3. 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.
  4. 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. https://doi.org/10.1109/TIP.2003.819861
  5. M. N. Do., "Directional Multiresolution Image Representations," PhD thesis, Swiss Federal Institute of Technology, Lausanne, Switzerland, December 2001.
  6. M. N. Do and M. Vetterli., "Pyramidal directional filter banks and curvelets," In Proc, IEEE Int., Conf, on Image Proc, Thessaloniki, Greece, Oct. 2001.
  7. 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 https://doi.org/10.1109/TCOM.1983.1095851
  8. M. N. Do and M. Vetterli., "Framing pyramids," IEEE Tran s. Signal Proc., pp. 2329-2342, Sep. 2003
  9. 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.
  10. P. C. Teo and D. J. Heeger., "Perceptual image distortion," in Proc. SPIE, vol. 2179, 1994, pp. 127-141.
  11. A. M. Eskicioglu and P. S. Fisher., "Image quality measures and their performance," IEEE Trans, Commun., vol. 43, pp. 2959-2965, Dec. 1995. https://doi.org/10.1109/26.477498
  12. M. P. Eckert and A. P. Bradley., "Perceptual quality metrics applied to still image compression.," Signal Processing, vol. 70, pp. 177-200, Nov. 1998. https://doi.org/10.1016/S0165-1684(98)00124-8
  13. S. Winkler., "A perceptual distortion metric for digital color video," in Proc. SPIE, vol. 3644, 1999, pp. 175-184.
  14. Z. Wang., "Rate scalable Foveated image and video communications," Ph.D. dissertation., Dept. Elect. Comput. Eng., Univ. Texas at Austin, Austin, TX, Dec. 2001.
  15. Z. Wang and A. C. Bovik,, "A universal image quality index," IEEE Signal Processing Letters, vol. 9, pp. 81-84, Mar. 2002. https://doi.org/10.1109/97.995823
  16. Z. Wang and A. C. Bovik., "Modern Image Quality Assessment," Morgan & Claypool Publishers, Mar. 2006