Fast Control for Backlight Power-Saving Algorithm Using Motion Vectors from the Decoded Video Stream

Shih Lun Chen, Tsung Yi Chen, Ting Lan Lin*, Chiung An Chen*, Szu Yin Lin, Yu Liang Chiang, Kun Hsien Tung, Wei Yuan Chiang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Backlight power-saving algorithms can reduce the power consumption of the display by adjusting the frame pixels with optimal clipping points under some tradeoff criteria. However, the computation for the selected clipping points can be complex. In this paper, a novel algorithm is created to reduce the computation time of the state-of-the-art backlight power-saving algorithms. If the current frame is similar to the previous frame, it is unnecessary to execute the backlight power-saving algorithm for the optimal clipping points, and the derived clipping point from the previous frame can be used for the current frame automatically. In this paper, the motion vector information was used as the measurement of the similarity between adjacent frames, where the generation of the motion vector information requires no extra complexity since it is generated to reconstruct the decoded frame pixels before the display. The experiments showed that the proposed work can reduce the running time of the state-of-the-art methods by 25.21% to 64.22%, while the performances are maintained; the differences with the state-of-the-art methods in PSNR are only 0.02~1.91 dB, and those in power are only −0.001~0.008 W.

Original languageEnglish
Article number7170
JournalSensors
Volume22
Issue number19
DOIs
StatePublished - Oct 2022

Keywords

  • LCD (liquid crystal display)
  • backlight power-saving
  • fast algorithm
  • motion vectors

Fingerprint

Dive into the research topics of 'Fast Control for Backlight Power-Saving Algorithm Using Motion Vectors from the Decoded Video Stream'. Together they form a unique fingerprint.

Cite this