Modeling Power-Constrained Optimal Backlight Dimming for Color Displays

In this paper, we present a framework for modeling color liquid crystal displays (LCDs) having local light-emitting diode (LED) backlight with dimming capability. The proposed framework includes critical aspects like leakage, clipping, light diffusion and human perception of luminance and allows adjustable penalization of power consumption. Based on the framework, we have designed a set of optimization-based backlight dimming algorithms providing a perceptual optimal balance of clipping and leakage, if necessary. The novel algorithms are compared with several other schemes known from the literature, using both objective measures and subjective assessment. The results show that the novel algorithms provide better quality at a given energy level or lower energy at a given quality level.

[1]  Lin-Yao Liao,et al.  Dynamic Backlight Gamma on High Dynamic Range LCD TVs , 2008, Journal of Display Technology.

[2]  Woo-Jin Song,et al.  How to reduce light leakage and clipping in local‐dimming liquid‐crystal displays , 2009 .

[3]  Jari Korhonen,et al.  Adaptive local backlight dimming algorithm based on local histogram and image characteristics , 2013, Electronic Imaging.

[4]  Jens-Rainer Ohm Multimedia Communication Technology: Representation,Transmission and Identification of Multimedia Signals , 2004 .

[5]  Jiang-Hong Han,et al.  Dynamic Backlight Adaptation Based on the Details of Image for Liquid Crystal Displays , 2012, Journal of Display Technology.

[6]  Xiaolin Wu,et al.  Optimal local dimming for LC image formation with controllable backlighting , 2013, IEEE Transactions on Image Processing.

[7]  Hans-Peter Seidel,et al.  Extending quality metrics to full luminance range images , 2008, Electronic Imaging.

[8]  Woo-Jin Song,et al.  A clipping reduction algorithm using backlight luminance compensation for local dimming liquid crystal displays , 2010, IEEE Transactions on Consumer Electronics.

[9]  William H. Press,et al.  Numerical Recipes in C, 2nd Edition , 1992 .

[10]  Munisamy Anandan Progress of LED backlights for LCDs , 2008 .

[11]  Young Hwan Kim,et al.  Multi-Histogram-Based Backlight Dimming for Low Power Liquid Crystal Displays , 2011, Journal of Display Technology.

[12]  Wolfgang Heidrich,et al.  High dynamic range display systems , 2004, SIGGRAPH 2004.

[13]  Jari Korhonen,et al.  Modeling LCD displays with local backlight dimming for image quality assessment , 2011, Electronic Imaging.

[14]  Oh-Kyong Kwon,et al.  A backlight dimming algorithm for low power and high image quality LCD applications , 2009, IEEE Transactions on Consumer Electronics.

[15]  Scott J. Daly,et al.  Brightness preservation for LCD backlight dimming , 2006 .

[16]  Xiaolin Wu,et al.  Image dependent energy-constrained local backlight dimming , 2012, 2012 19th IEEE International Conference on Image Processing.

[17]  Andreas Karrenbauer,et al.  Sorted Sector Covering Combined with Image Condensation - An Efficient Method for Local Dimming of Direct-Lit and Edge-Lit LCDs , 2010, IEICE Trans. Electron..

[18]  Soren Forchhammer,et al.  Speedup of optimization-based approach to local backlight dimming of HDR displays , 2012, Photonics Europe.

[19]  Margaret H. Pinson,et al.  The Consumer Digital Video Library , 2010 .

[20]  Charles A. Poynton,et al.  A technical introduction to digital video , 1996 .

[21]  Andriana Olmos,et al.  A biologically inspired algorithm for the recovery of shading and reflectance images , 2004 .

[22]  Stephen P. Boyd,et al.  Graph Implementations for Nonsmooth Convex Programs , 2008, Recent Advances in Learning and Control.