Pixel Arrangement and Mapping Algorithm for Improving Saturation and Brightness

Authors

  • Meiling Guo School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, CHN
  • Xiaoyun Li Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin 300387, CHN

Keywords:

pixel arrangement, RGBW, mapping algorithm, saturation, brightness

Abstract

With the increasing demand for display effects and resolution in the display market, the traditional RGBW permutation has defects such as reduced display saturation and poor image restoration. A new sub-pixel arrangement is designed for these defects, reducing the number of white pixels W and adding yellow pixels Y, which reduces the influence of white pixels on surrounding pixels compared to the conventional RGBW structure. According to the new arrangement method, two new mapping algorithms are designed, and the saturation concept is introduced. The yellow component and the white component are adjusted by the saturation change to effectively improve the image saturation. The simulation shows that the new mapping algorithm (1) has a higher degree of restoration on the image and increases the saturation by 10%. The new mapping algorithm (2) can improve the brightness based on maintaining the high saturation of the original image.

References

Zhang Yuezong, Li Chunxia, Wang Ruichun, et al. “Research on the Gamut of TV with Direct Illumination LED Backlight.” Optoelectronic Technology, 34(01), pp.26-30,2014.

Hammer M, Hinnen K J G. “Local luminance boost-ing of an RGBW LCD.” Iournal of Display Technology, 10(1), pp.33-42,2014.

Pan Dingping. “A Study on Characteristics and Assessment for Mapping Algorithms of RGBW Display.” Beijing Institute of Technology, 2016.

Yoon H J, Lee J H, Hong K P, et al. “Development of the RGBW TFT-LCD with data rendering innovation matrix(DRIM).”SID Symposium Digest of Technical Papers.Blackwell Publishing Ltd,2005, pp.244-247.

Lai C C, Tsai C C. “A modified stripe-RGNW TFT-LCD with image processing engine for mobile phone dispay.” IEEE Transaction on Consumer Electronics, 53(4), pp.1628-1633,2007.

Yan Limin, Wang Ziming. “Improvement of RGBW Sub-Pixel Arrangement and Color Gamut Mapping Optimization Algorithm.” Laser & Optoelectronics Progress, 55(10), pp.151-157,2018.

Yao Hongtao, Fan Wei. “A Modified RGB to RGBW Signal Mapping Algorithm.” Journal of Changchun University of Science and Technology (Natural Science Edition), 41(01), pp.119-122+126, 2018.

K. J. Kwon and Y. H. Kim. “Scene-adaptive RGB-to-RGBW conversion using retinex theory-based color preservation.” Display Technol. vol. 8 no. 12 pp. 684-694 Dec. 2012.

Feng Jun, Yan Limin, Chen Jing. “A Color Gamut Optimization Algorithm for RGB to RGBW Conversation.” Optoelectronic Technology, 35(02), pp.135-139+143,2015.

Hirano Satoshi. “Liquid crystal display apparatus.” Europe-an Patent.WO0137249, May.25,2001.

Biao Pan, Jialei Yuan, Xinhui Zhong, et al. “New RGBW Mapping Algorithm for High‐Quality‐Image LCDs.” SID Symposium Digest of Technical Papers, 48(1),2017.

Feng Jun, Yan Limin, Xia Mingzhi. “A Multi-primary Sub-pixel Rendering Algorithm Improving Image Brightness.” Optoelectronic Technology, 36(03), pp.173-179,2016.

S. Kim H.-J. Lee. “A design of a cost-effective look-up table for RGB-to-RGBW conversion.” APCCAS pp. 188-191, Oct. 2016.

Song Pengcheng, Wen Shangsheng, Chen Yingcong. “Research on Color Mixing Based on RGBW-LEDs.” Acta Optica Sinica, 35(09), pp.313-321,2015.

Zhou Liping, Chen Chaoliang, Gao Wanrong. “Interpixel Shift Technique for Increasing Imaging Depth of Frequency Domain Optical Coherence Tomography.” Laser & Optoelectronics Exhibition, 52(02), pp.200-207,2015.

BOE Technology Group Co., Ltd. “Image conversion method and device for RGB signal to RGBW signal.”103218988B, Feb.25,2015.

Bongjoe Kim; Kyuha Choi. “Color contrast enhanced RGBW conversion.” 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE), vol. 10, pp.27-30,2015.

Yanhui Xi,Bin Dai,Yan Sun. “New RGBW Mapping Algorithm with Minimized Color Distortion.” SID Symposium Digest of Technical Papers, vol. 49,2018.

S.Kim,H.-J.Lee. “A design of a cost-effective look-up table for RGB-to-RGBW conversion.” APCCAS, vol. 10, pp.188-191,2016.

Hu Peng, Qi Qi, Chen Renwei. “Comparison and analysis of RGB and RGBW display technology and suggestions for 4K standardization.” Video Engineering, 41 (Z3), pp.145-149,2017.

Downloads

Published

2019-11-27

How to Cite

Guo, M., & Li, X. . (2019). Pixel Arrangement and Mapping Algorithm for Improving Saturation and Brightness. American Scientific Research Journal for Engineering, Technology, and Sciences, 61(1), 214–223. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/5384

Issue

Section

Articles