Skip to main content
Log in

A new local dimming algorithm based on the simplex method

  • Published:
Computational Optimization and Applications Aims and scope Submit manuscript

Abstract

A recently arising important feature of mobile computing is power efficiency. Economical power management allows to increase the battery lifetime of tablets, mobile phones and so on. As the display of those devices yields the largest part of power consumption in the near future, it is necessary to reduce the power consumption of them. This can be achieved by dimming, especially by local dimming, i.e reducing the backlight of the display while the necessary brightness in all pixels has to be satisfied. Mathematically, this problem is modeled in this paper as a linear program, which will be solved by a tuned up version of the popular simplex algorithm. While there are other methods as the sorted sector covering algorithm or the General Dimming Algorithm for local dimming, they do not allow to integrate a-priori information for the solution. For example, restricting the maximum difference of the power of two neighboring LEDs is not possible due to the calculation, while it is a natural demand from the physical point of view. Furthermore, the simplex method allows to integrate smoothness conditions on the solution depending on the second order derivative. Additionally, a problem adapted pivot rule is proposed and the warmstart-strategy of the simplex is elaborated to speed up the proposed algorithm during watching movies. Furthermore, the new method does not only minimize the power consumption, it also aligns the backlight to the image leading to perfectly dimmed images. Numerical examples comparing the different methods substantiate the many advantages of the new method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Albrecht, M., Karrenbauer, A., Xu, C.: Sorted sector covering combined with image condensation-an efficient method for local dimming of direct-lit and edge-lit lcds. IEICE Trans. Electron. 93(11), 1556–1563 (2010)

    Article  Google Scholar 

  2. Elble, J.: Computational experience with linear optimization and related problems. PhD thesis, University of Illinois at Urbana-Champaign (2010)

  3. Geiger, C., Kanzow, C.: Theorie und Numerik Restringiererter Optimierungsaugaben. Springer, Berlin (2002)

    Book  Google Scholar 

  4. Gill, P., Murray, W., Wright, M.: Numerical Linear Algebra and Optimization. Addison-Wesley Publishing, Boston (1991)

    MATH  Google Scholar 

  5. Harris, P.M.: Pivot selection methods of the devex lp code. Math. Progr. 5(1), 1–28 (1973)

    Article  MathSciNet  MATH  Google Scholar 

  6. Jung, T., Albrecht, M., Schäfer, D., Xu, C.: System architecture and FPGA-implementation of the ssc local dimming processor for an edge-lit serial tv. Soc. Inf. Disp. 42, 665–668 (2011)

    Google Scholar 

  7. Karrenbauer, A., Albrecht, M., Xu, C.: Method, system and apparatus for power saving backlight. US Patent 8411116 (2013)

  8. Krause, M., Riplinger, M., Louis, A.K., Xu, C.: A new class of very effective algorithms for local dimming. Submitted (2014)

  9. Natterer, F.: The Mathematics of Computerized Tomography. SIAM, Philadelphia (2001)

    Book  MATH  Google Scholar 

  10. Pan, P.Q.: Nested pricing for the simplex algorithm: an empirical evaluation. Optimization (2007)

  11. Pan, P.Q.: Efficient nested pricing in the simplex algorithm. Oper. Res. Lett. 36(3), 309–313 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  12. Schäfer, D., Jung, T., Xu, C.: Enhanced local pixel compensation with clipping suppression and global luminance preservation. SID Symp. Dig. Tech. Papers 43, 473–476 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martin Riplinger.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Riplinger, M., Krause, M., Louis, A.K. et al. A new local dimming algorithm based on the simplex method. Comput Optim Appl 64, 243–263 (2016). https://doi.org/10.1007/s10589-015-9803-z

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10589-015-9803-z

Keywords

Mathematics Subject Classification

Navigation