Imaging Components, Systems, and Processing

Optimal liquid crystal display backlight dimming based on clustered contrast loss

[+] Author Affiliations
Jae-Woo Kim, Kyu-Ho Lee, Jin-Gon Bae, Jong-Ok Kim

Korea University, College of Engineering, Department of Electronic Engineering, Anam-Dong, Seongbuk-Gu, Seoul 136-713, Republic of Korea

Hyung-Geun Kim

Samsung Electronics Company, 416, Suwon, Gyeonggi-do 443-803, Republic of Korea

Opt. Eng. 54(10), 103112 (Oct 28, 2015). doi:10.1117/1.OE.54.10.103112
History: Received June 17, 2015; Accepted September 25, 2015
Text Size: A A A

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

Citation

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", Opt. Eng. 54(10), 103112 (Oct 28, 2015). ; http://dx.doi.org/10.1117/1.OE.54.10.103112


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.