Subpixel rendering for the pentile display based on the human visual system

Sung Ho Chae, Cheol Hwan Yoo, Jee Young Sun, Mun Cheon Kang, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


Recently, with the increased demand for low-power displays regarding portable devices, the RGBG PenTile display is popularly utilized. However, unlike the traditional RGB-stripe display with its three color channels, each pixel of the RGBG PenTile display comprises only two color channels, thereby causing the color leakage image distortion. To cope with this problem, most of the conventional methods employ a preprocessing filter for subpixel rendering; however, these filters cannot remove the color leakage completely, and they also result in the blurring artifacts. In this paper, a novel approach to obtain the preprocessing filter is presented. We formulate a filter design method as a minimum mean square error problem and derive an optimal preprocessing filter that is based on the human visual system (HVS) as follows; first, two perceived images indicating how human recognizes the images on the RGB and RGBG displays are generated and then the difference between the two perceived images is minimized to derive the optimal filter. In addition, in order to prevent the blurring artifact, the proposed filter is applied to the previously detected color-leakage region only. Experimental results demonstrate that the proposed method outperforms the conventional methods in terms of both the subjective and objective image quality.

Original languageEnglish
Article number8246797
Pages (from-to)401-409
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Issue number4
Publication statusPublished - 2017 Nov

Bibliographical note

Funding Information:
Manuscript received October 1, 2017; accepted November 15, 2017. Date of publication December 19, 2017. This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (2017-0-00250, Intelligent Defense Boundary Surveillance Technology Using Collaborative Reinforced Learning of Embedded Edge Camera and Image Analysis). (Corresponding author: S.-J. Ko.) S.-H. Chae is with School of Electrical Engineering, Korea University, Anam-dong 5(o)-ga, Seongbuk-gu, Seoul, 136-713, Rep. of Korea (e-mail:

Publisher Copyright:
© 2017 IEEE.


  • RGBG PenTile display
  • Subpixel rendering
  • human visual system (HVS)
  • optimal filter

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


Dive into the research topics of 'Subpixel rendering for the pentile display based on the human visual system'. Together they form a unique fingerprint.

Cite this