OSA's Digital Library

Journal of Display Technology

Journal of Display Technology


  • Vol. 10, Iss. 7 — Jul. 1, 2014
  • pp: 568–573

Segmentation-Based Clipped Error Control Algorithm for Global Backlight Dimming

Suk-Ju Kang and Young Hwan Kim

Journal of Display Technology, Vol. 10, Issue 7, pp. 568-573 (2014)

View Full Text Article

Acrobat PDF (1280 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

  • Export Citation/Save Click for help


This paper presents a new backlight dimming method that applies segmentation-based clipped error control to liquid crystal displays. Clipped error control is the most important algorithm for power saving during backlight dimming. The proposed segmentation-based clipped error control algorithm considers the exact local distribution of an image using image segmentation, which enhances the image quality compared with existing methods. In addition, a binary search algorithm is applied to the proposed method for reducing the computational complexity. The experimental results showed that the average peak signal-to-noise ratio with the proposed method was up to 11.734 dB higher than those of conventional methods whereas the power consumption increased only slightly.

© 2014 IEEE

Suk-Ju Kang and Young Hwan Kim, "Segmentation-Based Clipped Error Control Algorithm for Global Backlight Dimming," J. Display Technol. 10, 568-573 (2014)

Sort:  Year  |  Journal  |  Reset


  1. N. Chang, I. Choi, H. Shim, "DLS: Dynamic backlight luminance scaling of liquid crystal display," IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 12, 837-846 (2004).
  2. C.-C. Lai, C.-C. Tsai, "Backlight power reduction and image contrast enhancement using adaptive dimming for global backlight applications," IEEE Trans. Consumer Electron. 54, 669-674 (2008).
  3. S.-J. Kang, Y. H. Kim, "Image integrity-based gray-level error control for low power liquid crystal displays," IEEE Trans. Consumer Electron. 55, 2401-2406 (2009).
  4. S.-J. Kang, Y. H. Kim, "Multi-histogram-based backlight dimming for low power liquid crystal displays," J. Display Technol. 7, 544-549 (2011).
  5. T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, A. Wu, "An efficient ${\rm k}$ -means clustering algorithm: Analysis and implementation," IEEE Trans. Pattern Anal. Mach. Intell. 24, 881-892 (2002).
  6. N. A. M. Isa, S. A. Salamah, U. K. Ngah, "Adaptive fuzzy moving K-means algorithm for image segmentation," IEEE Trans. Consumer Electron. 55, 2145-2153 (2009).
  7. A. Iranli, H. Fatemi, M. Pedram, "HEBS: Histogram equalization for backlight scaling," Proc. Conf. Design, Automation and Test in Europe (2005) pp. 346-351.
  8. T.-S. Chen, C.-C. Chang, M.-S. Hwang, "A virtual image cryptosystem based upon vector quantization," IEEE Trans. Image Process. 7, 1485-1488 (1998).
  9. D.-C. Hwang, J.-S. Park, S.-C. Kim, D.-H. Shin, E.-S. Kim, "Magnification of 3D reconstructed images in integral imaging using an intermediate-view reconstruction technique," Appl. Opt. 45, 4631-4637 (2006).
  10. J. Someya, N. Okuda, H. Sugiura, "The suppression of noise on a dithering Image in LCD overdrive," IEEE Trans. Consumer Electron. 52, 1325-1332 (2006).
  11. D. Van de Ville, W. Philips, I. Lemahieu, R. Van de Walle, "Suppression of sampling moire in color printing by spline-based least-squares prefiltering," Pattern Recogn. Lett. 24, 1787-1794 (2003).
  12. G. Marchionini, G. Geisler, "The open video digital library," Digital Library Mag. 8, (2002).
  13. T. H. Cormen, C. E. Leiserson, R. L. Rivest, C. Stein, Introduction to Algorithms (MIT Press, 2001).
  14. S.-J. Kang, "Processor-based backlight dimming using computation reduction technique," J. Display Technol. 9, 819-824 (2013).
  15. S.-J. Kang, "SSIM preservation-based backlight dimming," J. Display Technol. 10, 247-250 (2014).

Cited By

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited