A constrained error diffusion method to shape quantization noise in backlight dimming

Zi Xin Xu; Yuk Hee Chan

doi:10.1109/ICDSP.2014.6900800

A constrained error diffusion method to shape quantization noise in backlight dimming

Zi Xin Xu, Yuk Hee Chan

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Backlight dimming is a powerful method to reduce power consumption of LED-LC displays. However, there remains a problem to preserve perceived quality while reducing backlight luminance. Distortion of backlight dimming can be classified to three types: clipping, leakage and quantization. The former two distortions have been widely discussed in the literature, but the quantization noise is generally ignored. This paper presents a LC compensation framework which exploits error diffusion to shape the quantization noise. Simulation results show that the proposed approach is efficient to achieve the goal.

Original language	English
Title of host publication	2014 19th International Conference on Digital Signal Processing, DSP 2014
Publisher	IEEE
Pages	909-913
Number of pages	5
Volume	2014-January
ISBN (Electronic)	9781479946129
DOIs	https://doi.org/10.1109/ICDSP.2014.6900800
Publication status	Published - 1 Jan 2014
Event	2014 19th International Conference on Digital Signal Processing, DSP 2014 - Hong Kong, Hong Kong Duration: 20 Aug 2014 → 23 Aug 2014

Conference

Conference	2014 19th International Conference on Digital Signal Processing, DSP 2014
Country/Territory	Hong Kong
City	Hong Kong
Period	20/08/14 → 23/08/14

ASJC Scopus subject areas

Signal Processing

More information

10.1109/ICDSP.2014.6900800

Cite this

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title = "A constrained error diffusion method to shape quantization noise in backlight dimming",

abstract = "Backlight dimming is a powerful method to reduce power consumption of LED-LC displays. However, there remains a problem to preserve perceived quality while reducing backlight luminance. Distortion of backlight dimming can be classified to three types: clipping, leakage and quantization. The former two distortions have been widely discussed in the literature, but the quantization noise is generally ignored. This paper presents a LC compensation framework which exploits error diffusion to shape the quantization noise. Simulation results show that the proposed approach is efficient to achieve the goal.",

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Xu, ZX & Chan, YH 2014, A constrained error diffusion method to shape quantization noise in backlight dimming. in 2014 19th International Conference on Digital Signal Processing, DSP 2014. vol. 2014-January, 6900800, IEEE, pp. 909-913, 2014 19th International Conference on Digital Signal Processing, DSP 2014, Hong Kong, Hong Kong, 20/08/14. https://doi.org/10.1109/ICDSP.2014.6900800

A constrained error diffusion method to shape quantization noise in backlight dimming. / Xu, Zi Xin; Chan, Yuk Hee.
2014 19th International Conference on Digital Signal Processing, DSP 2014. Vol. 2014-January IEEE, 2014. p. 909-913 6900800.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - Backlight dimming is a powerful method to reduce power consumption of LED-LC displays. However, there remains a problem to preserve perceived quality while reducing backlight luminance. Distortion of backlight dimming can be classified to three types: clipping, leakage and quantization. The former two distortions have been widely discussed in the literature, but the quantization noise is generally ignored. This paper presents a LC compensation framework which exploits error diffusion to shape the quantization noise. Simulation results show that the proposed approach is efficient to achieve the goal.

AB - Backlight dimming is a powerful method to reduce power consumption of LED-LC displays. However, there remains a problem to preserve perceived quality while reducing backlight luminance. Distortion of backlight dimming can be classified to three types: clipping, leakage and quantization. The former two distortions have been widely discussed in the literature, but the quantization noise is generally ignored. This paper presents a LC compensation framework which exploits error diffusion to shape the quantization noise. Simulation results show that the proposed approach is efficient to achieve the goal.

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A constrained error diffusion method to shape quantization noise in backlight dimming

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