Speedup of optimization-based approach to local backlight dimming of HDR displays

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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@article{bb88ba6629f9499195412ecfe0591bd7,
title = "Speedup of optimization-based approach to local backlight dimming of HDR displays",
publisher = "S P I E - International Society for Optical Engineering",
author = "Nino Burini and Ehsan Nadernejad and Jari Korhonen and Søren Forchhammer and Xiaolin Wu",
year = "2012",
doi = "10.1117/12.923646",
volume = "8436",
pages = "84360B",
journal = "Proceedings of SPIE, the International Society for Optical Engineering",
issn = "1605-7422",

}

RIS

TY - JOUR

T1 - Speedup of optimization-based approach to local backlight dimming of HDR displays

A1 - Burini,Nino

A1 - Nadernejad,Ehsan

A1 - Korhonen,Jari

A1 - Forchhammer,Søren

A1 - Wu,Xiaolin

AU - Burini,Nino

AU - Nadernejad,Ehsan

AU - Korhonen,Jari

AU - Forchhammer,Søren

AU - Wu,Xiaolin

PB - S P I E - International Society for Optical Engineering

PY - 2012

Y1 - 2012

N2 - Local backlight dimming in Liquid Crystal Displays (LCD) is a technique for reducing power consumption and simultaneously increasing contrast ratio to provide a High Dynamic Range (HDR) image reproduction. Several backlight dimming algorithms exist with focus on reducing power consumption, while other algorithms aim at enhancing contrast, with power savings as a side effect. In our earlier work, we have modeled backlight dimming as a linear programming problem, where the target is to minimize the cost function measuring the distance between ideal and actual output. In this paper, we propose a version of the abovementioned algorithm, speeding up execution by decreasing the number of input variables. This is done by using a subset of the input pixels, selected among the ones experiencing leakage or clipping distortions. The optimization problem is then solved on this subset. Sample reduction can also be beneficial in conjunction with other approaches, such as an algorithm based on gradient descent, also presented here. All the proposals have been compared against other known approaches on simulated edge- and direct-lit displays, and the results show that the optimal distortion level can be reached using a subset of pixels, with significantly reduced computational load compared to the optimal algorithm with the full image.

AB - Local backlight dimming in Liquid Crystal Displays (LCD) is a technique for reducing power consumption and simultaneously increasing contrast ratio to provide a High Dynamic Range (HDR) image reproduction. Several backlight dimming algorithms exist with focus on reducing power consumption, while other algorithms aim at enhancing contrast, with power savings as a side effect. In our earlier work, we have modeled backlight dimming as a linear programming problem, where the target is to minimize the cost function measuring the distance between ideal and actual output. In this paper, we propose a version of the abovementioned algorithm, speeding up execution by decreasing the number of input variables. This is done by using a subset of the input pixels, selected among the ones experiencing leakage or clipping distortions. The optimization problem is then solved on this subset. Sample reduction can also be beneficial in conjunction with other approaches, such as an algorithm based on gradient descent, also presented here. All the proposals have been compared against other known approaches on simulated edge- and direct-lit displays, and the results show that the optimal distortion level can be reached using a subset of pixels, with significantly reduced computational load compared to the optimal algorithm with the full image.

KW - Local backlight dimming

KW - Liquid crystal display

KW - Light emitting diode backlight

KW - Linear programming

KW - Optimization

KW - High dynamic range display

KW - Gradient descent

U2 - 10.1117/12.923646

DO - 10.1117/12.923646

JO - Proceedings of SPIE, the International Society for Optical Engineering

JF - Proceedings of SPIE, the International Society for Optical Engineering

SN - 1605-7422

VL - 8436

SP - 84360B

ER -