Optimal Transform in Perceptually Uniform Color Space and Its Application in Image Coding

  • Ying Chen
  • Pengwei Hao
  • Anrong Dang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3211)


To find an appropriate color transform is necessary and helpful for the applications of color images. In this paper, we proposed a new scheme to find color transforms close to the optimal transform and agree with human vision system for comparison. We first apply the perceptually uniform color space transform to convert RGB components into uniform CIE LAB components, and then use principal components analysis (PCA) in the uniform space to find the image-dependent optimal color transforms (KLT) for each test image group and for all the images in all the groups. With the KLTs, an approximate but image-independent transform in CIE LAB space is presented, namely LAR, which is just the LAB space rotated and has an elegant and simple form. Finally, we apply it to image compression, and our experiment shows that LAR performs better (PSNR about 4dB higher) than the default color transform in JPEG 2000.


Color Image Color Space Uniform Space Image Code JPEG Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kasson, J.M., Plouffe, W.: An Analysis of Selected Computer Interchange Color Spaces. ACM Transactions on Graphics 11(4), 373–405 (1992)zbMATHCrossRefGoogle Scholar
  2. 2.
    Poynton, C.: Frequently Asked Questions about Color (1999),
  3. 3.
    Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. Wiley InterScience, Hoboken (1999)Google Scholar
  4. 4.
    Pratt, W.K.: Spatial transform coding of color images. IEEE Transactions on Communication Technology 19, 912–980 (1971)CrossRefGoogle Scholar
  5. 5.
    Connolly, C., Fliess, T.: A Study of Efficiency and Accuracy in the Transformation from RGB to CIELAB Color Space. IEEE Transactions on Image Processing 6(7), 1046–1048 (1997)CrossRefGoogle Scholar
  6. 6.
    Asakawa, K., Sugiura, H.: High-precision color transformation system. IEEE Transactions on Consumer Electronics 41(2), 304–312 (1995)CrossRefGoogle Scholar
  7. 7.
    Wallace, G.K.: The JPEG Still Picture Compression Standard. Communications of the ACM 34(4), 30–44 (1991)CrossRefGoogle Scholar
  8. 8.
    Christopoulos, C., Skodras, A., Ebrahimi, T.: The JPEG 2000 still image coding system: An overview. IEEE Trans. Consumer Electronics 46(4), 1103–1127 (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Ying Chen
    • 1
    • 2
  • Pengwei Hao
    • 1
    • 2
  • Anrong Dang
    • 3
  1. 1.Center for Information SciencePeking UniversityBeijingChina
  2. 2.Department of Computer Science, Queen MaryUniversity of LondonUK
  3. 3.Center for Science of Human SettlementsTsinghua UniversityBeijingChina

Personalised recommendations