Image Dependent Energy-Constrained Local Backlight Dimming

Nino Burini; Ehsan Nadernejad; Jari Korhonen; Søren Forchhammer; Xiaolin Wu

doi:10.1109/ICIP.2012.6467480

Image Dependent Energy-Constrained Local Backlight Dimming

Nino Burini, Ehsan Nadernejad, Jari Korhonen, Søren Forchhammer, Xiaolin Wu

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

In this work, we consider and propose two extensions to an optimization-based image dependent backlight dimming algorithm. The first extension introduces error weighting based on human perception of luminance, aiming to improve the perceived image quality; the second extension adds an adjustable term for power consumption to the cost function, allowing flexible power management. Experimental results show that the proposed solution can achieve better results than other algorithms at several power consumption levels.

Original language	English
Title of host publication	Proceedings of ICIP 2012
Publisher	IEEE
Publication date	2012
Pages	2797-2800
ISBN (Print)	9781467325349
DOIs	https://doi.org/10.1109/ICIP.2012.6467480
Publication status	Published - 2012
Event	2012 IEEE International Conference on Image Processing: IEEE ICIP 2012 - Disney Coronado Springs Resort, Orlando, United States Duration: 30 Sept 2012 → 3 Oct 2012 http://www.2012.ieeeicip.org/

Conference

Conference	2012 IEEE International Conference on Image Processing
Location	Disney Coronado Springs Resort
Country/Territory	United States
City	Orlando
Period	30/09/2012 → 03/10/2012
Internet address	http://www.2012.ieeeicip.org/

Series	International Conference on Image Processing. Proceedings
ISSN	1522-4880

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10.1109/ICIP.2012.6467480

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title = "Image Dependent Energy-Constrained Local Backlight Dimming",

abstract = "In this work, we consider and propose two extensions to an optimization-based image dependent backlight dimming algorithm. The first extension introduces error weighting based on human perception of luminance, aiming to improve the perceived image quality; the second extension adds an adjustable term for power consumption to the cost function, allowing flexible power management. Experimental results show that the proposed solution can achieve better results than other algorithms at several power consumption levels.",

author = "Nino Burini and Ehsan Nadernejad and Jari Korhonen and S{\o}ren Forchhammer and Xiaolin Wu",

year = "2012",

doi = "10.1109/ICIP.2012.6467480",

language = "English",

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series = "International Conference on Image Processing. Proceedings",

publisher = "IEEE",

pages = "2797--2800",

booktitle = "Proceedings of ICIP 2012",

address = "United States",

note = "2012 IEEE International Conference on Image Processing : IEEE ICIP 2012 ; Conference date: 30-09-2012 Through 03-10-2012",

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Burini, N, Nadernejad, E, Korhonen, J, Forchhammer, S & Wu, X 2012, Image Dependent Energy-Constrained Local Backlight Dimming. in Proceedings of ICIP 2012. IEEE, International Conference on Image Processing. Proceedings, pp. 2797-2800, 2012 IEEE International Conference on Image Processing, Orlando, Florida, United States, 30/09/2012. https://doi.org/10.1109/ICIP.2012.6467480

TY - GEN

T1 - Image Dependent Energy-Constrained Local Backlight Dimming

AU - Burini, Nino

AU - Nadernejad, Ehsan

AU - Korhonen, Jari

AU - Forchhammer, Søren

AU - Wu, Xiaolin

PY - 2012

Y1 - 2012

N2 - In this work, we consider and propose two extensions to an optimization-based image dependent backlight dimming algorithm. The first extension introduces error weighting based on human perception of luminance, aiming to improve the perceived image quality; the second extension adds an adjustable term for power consumption to the cost function, allowing flexible power management. Experimental results show that the proposed solution can achieve better results than other algorithms at several power consumption levels.

AB - In this work, we consider and propose two extensions to an optimization-based image dependent backlight dimming algorithm. The first extension introduces error weighting based on human perception of luminance, aiming to improve the perceived image quality; the second extension adds an adjustable term for power consumption to the cost function, allowing flexible power management. Experimental results show that the proposed solution can achieve better results than other algorithms at several power consumption levels.

U2 - 10.1109/ICIP.2012.6467480

DO - 10.1109/ICIP.2012.6467480

M3 - Article in proceedings

SN - 9781467325349

T3 - International Conference on Image Processing. Proceedings

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EP - 2800

BT - Proceedings of ICIP 2012

PB - IEEE

T2 - 2012 IEEE International Conference on Image Processing

Y2 - 30 September 2012 through 3 October 2012

ER -

Image Dependent Energy-Constrained Local Backlight Dimming

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