TY - JOUR
T1 - Subpixel rendering for the pentile display based on the human visual system
AU - Chae, Sung Ho
AU - Yoo, Cheol Hwan
AU - Sun, Jee Young
AU - Kang, Mun Cheon
AU - Ko, Sung Jea
N1 - 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: shchae@dali.korea.ac.kr).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/11
Y1 - 2017/11
N2 - 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.
AB - 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.
KW - RGBG PenTile display
KW - Subpixel rendering
KW - human visual system (HVS)
KW - optimal filter
UR - http://www.scopus.com/inward/record.url?scp=85040678556&partnerID=8YFLogxK
U2 - 10.1109/TCE.2017.015103
DO - 10.1109/TCE.2017.015103
M3 - Article
AN - SCOPUS:85040678556
SN - 0098-3063
VL - 63
SP - 401
EP - 409
JO - IEEE Transactions on Consumer Electronics
JF - IEEE Transactions on Consumer Electronics
IS - 4
M1 - 8246797
ER -