28 October 2015 Optimal liquid crystal display backlight dimming based on clustered contrast loss
Jae-Woo Kim, Kyu-Ho Lee, Jin-Gon Bae, Hyung-Geun Kim, Jong-Ok Kim
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Abstract
We propose an image adaptive backlight dimming method that quantitatively measures the perceived image quality degradation in terms of brightness and contrast. Unlike conventional methods, the proposed adaptive dimming considers the spatial distribution characteristics of the clipped pixels via a new measure, clusterization, to effectively estimate the perceived contrast loss and prevent the clipping artifact (light saturation). The proposed adaptive dimming achieves an average 17.71% power reduction while keeping the image quality difference to a tolerably low amount, as shown by the subjective mean opinion score test results. Comparing the optimal backlight levels estimated by the proposed method with results from other methods, the proposed backlight dimming is closer to the ground truth backlight levels that are favored by human subjects.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2015/$25.00 © 2015 SPIE
Jae-Woo Kim, Kyu-Ho Lee, Jin-Gon Bae, Hyung-Geun Kim, and Jong-Ok Kim "Optimal liquid crystal display backlight dimming based on clustered contrast loss," Optical Engineering 54(10), 103112 (28 October 2015). https://doi.org/10.1117/1.OE.54.10.103112
Published: 28 October 2015
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Image quality

LCDs

Optical engineering

Image processing

Quality measurement

Molybdenum

Image segmentation

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