Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Display Technology
  • Vol. 9,
  • Issue 8,
  • pp. 632-637
  • (2013)

Color Difference-Based Subpixel Rendering for Matrix Displays

Not Accessible

Your library or personal account may give you access


In this paper, we present a new subpixel rendering algorithm considering adaptively weighting factors of the current and neighboring subpixels for matrix displays. The proposed method divides gray levels into several bins computing the absolute color difference between the current subpixel and neighboring subpixels. Then, it adaptively assigns weighting factors to the current and neighboring subpixels. In the experiments using test images, the proposed subpixel rendering algorithm improved the average luminance sharpness by up to 0.124, when compared to benchmarks methods. For the chrominance blending, the average peak signal-to-noise ratio (PSNR) of the proposed method was up to 1.415 dB higher than those of the benchmarks methods.

© 2013 IEEE

PDF Article
More Like This
Autostereoscopic 3D display using directional subpixel rendering

Seok Lee, Juyoung Park, Jingu Heo, Byongmin Kang, Dongwoo Kang, Hyoseok Hwang, Jinho Lee, Yoonsun Choi, Kyuhwan Choi, and Dongkyung Nam
Opt. Express 26(16) 20233-20233 (2018)

Subpixel area-based evaluation for crosstalk suppression in quasi-three-dimensional displays

Zhenfeng Zhuang, Phil Surman, Qijia Cheng, Simon Thibault, Yuanjin Zheng, and Xiao Wei Sun
Appl. Opt. 56(19) 5450-5457 (2017)

Effects of spatial sampling and luminance quantization on the image quality of color matrix displays

Louis D. Silverstein, John H. Krantz, Frank E. Gomer, Yei-Yu Yeh, and Robert W. Monty
J. Opt. Soc. Am. A 7(10) 1955-1968 (1990)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.