An RGB to RGBG conversion algorithm for AMOLED panel
In this paper, an RGB‐to‐RGBG conversion algorithm based on the weighting factor (WF) has been proposed. The gray level of each RGBG sub‐pixel is represented by the weighted sum of the original gray levels. The weighting factors are adaptively calculated by minimizing the square error. Furthermore,...
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| Vydáno v: | Journal of the Society for Information Display Ročník 25; číslo 5; s. 302 - 311 |
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| Jazyk: | angličtina |
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01.05.2017
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| ISSN: | 1071-0922, 1938-3657 |
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| Abstract | In this paper, an RGB‐to‐RGBG conversion algorithm based on the weighting factor (WF) has been proposed. The gray level of each RGBG sub‐pixel is represented by the weighted sum of the original gray levels. The weighting factors are adaptively calculated by minimizing the square error. Furthermore, the color fringing artifact is significantly improved by using this method. Peak signal‐to‐noise ratio of U component and peak signal‐to‐noise ratio of V component of the image processed by WF is larger than that processed by direct assignment and FRB. The mean square error of the image processed by the WF is 14% and 53% smaller than that of image processed by direct assignment and FRB, respectively. The proposed algorithm has been implemented on a field‐programmable gate array, and the displayed image has good visual effect.
In this paper, an RGB‐to‐RGBG conversion algorithm based on weighting factor (WF) has been proposed. Peak signal‐to‐noise ratio of U component and peak signal‐to‐noise ratio of V component of image processed by WF is larger than that processed by direct assignment and FRB. Mean square error of image processed by the WF is 14% and 53% smaller than that of image processed by the direct assignment and FRB, respectively. |
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| AbstractList | In this paper, an RGB‐to‐RGBG conversion algorithm based on the weighting factor (WF) has been proposed. The gray level of each RGBG sub‐pixel is represented by the weighted sum of the original gray levels. The weighting factors are adaptively calculated by minimizing the square error. Furthermore, the color fringing artifact is significantly improved by using this method. Peak signal‐to‐noise ratio of U component and peak signal‐to‐noise ratio of V component of the image processed by WF is larger than that processed by direct assignment and FRB. The mean square error of the image processed by the WF is 14% and 53% smaller than that of image processed by direct assignment and FRB, respectively. The proposed algorithm has been implemented on a field‐programmable gate array, and the displayed image has good visual effect. In this paper, an RGB‐to‐RGBG conversion algorithm based on the weighting factor (WF) has been proposed. The gray level of each RGBG sub‐pixel is represented by the weighted sum of the original gray levels. The weighting factors are adaptively calculated by minimizing the square error. Furthermore, the color fringing artifact is significantly improved by using this method. Peak signal‐to‐noise ratio of U component and peak signal‐to‐noise ratio of V component of the image processed by WF is larger than that processed by direct assignment and FRB. The mean square error of the image processed by the WF is 14% and 53% smaller than that of image processed by direct assignment and FRB, respectively. The proposed algorithm has been implemented on a field‐programmable gate array, and the displayed image has good visual effect. In this paper, an RGB‐to‐RGBG conversion algorithm based on weighting factor (WF) has been proposed. Peak signal‐to‐noise ratio of U component and peak signal‐to‐noise ratio of V component of image processed by WF is larger than that processed by direct assignment and FRB. Mean square error of image processed by the WF is 14% and 53% smaller than that of image processed by the direct assignment and FRB, respectively. |
| Author | Feng, Songlin Zhang, Qi Wang, Hui Huang, Chengqiang |
| Author_xml | – sequence: 1 givenname: Chengqiang orcidid: 0000-0002-7555-5639 surname: Huang fullname: Huang, Chengqiang email: 18616836345@163.com organization: Zunyi Normal College – sequence: 2 givenname: Qi surname: Zhang fullname: Zhang, Qi organization: Shanghai Advanced Research Institute, Chinese Academy of Sciences – sequence: 3 givenname: Hui surname: Wang fullname: Wang, Hui organization: Shanghai Advanced Research Institute, Chinese Academy of Sciences – sequence: 4 givenname: Songlin surname: Feng fullname: Feng, Songlin organization: Shanghai Advanced Research Institute, Chinese Academy of Sciences |
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| Cites_doi | 10.1109/JDT.2005.858913 10.1889/JSID17.3.195 10.1889/1.3256951 10.1109/TCSVT.2011.2179458 10.1109/TED.2011.2151862 10.1109/MSPEC.2006.1665051 10.1111/cgf.12267 10.1109/JDT.2013.2251996 10.1109/LED.2007.896895 10.1002/sdtp.10925 10.1109/MSP.2013.2241311 |
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| References | 2007; 28 2009; 40 2016; 2 2012; 1 2006; 43 2013; 30 2007 2005; 1 2015 2011; 58 2012; 22 2016; 47 2014; 33 2013; 9 2009; 17 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 Kim M. C. (e_1_2_7_14_1) 2016; 2 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_8_1 e_1_2_7_7_1 Huang C. Q. (e_1_2_7_15_1) 2015 e_1_2_7_18_1 e_1_2_7_17_1 e_1_2_7_16_1 e_1_2_7_2_1 e_1_2_7_12_1 e_1_2_7_11_1 e_1_2_7_10_1 Fang L. (e_1_2_7_13_1) 2012; 1 |
| References_xml | – volume: 1 start-page: 267 issue: 2 year: 2005 end-page: 277 article-title: Driving schemes for a‐Si and LTPS AMOLED displays publication-title: J. Display Technol. – volume: 2 start-page: 185 issue: 12 year: 2016 end-page: 194 article-title: Fourier‐domain analysis of display pixel structure for image quality publication-title: J. Display Technol. – volume: 33 start-page: 199 issue: 1 year: 2014 end-page: 209 article-title: Low‐cost subpixel rendering for diverse displays publication-title: Comp. Graph. Forum – volume: 58 start-page: 2652 issue: 8 year: 2011 end-page: 2659 article-title: Lifetime amelioration for an AMOLED pixel circuit by using a novel AC driving scheme publication-title: IEEE Trans. Electr Devices – volume: 30 start-page: 177 issue: 3 year: 2013 end-page: 189 article-title: Subpixel rendering: from font rendering to image subsampling publication-title: IEEE Signal Process. Magazine – volume: 47 start-page: 1045 issue: 1 year: 2016 end-page: 1047 – volume: 1 issue: 2 year: 2012 article-title: Increasing image resolution on portable displays by subpixel rendering – a systematic overview publication-title: Apsipa Transact. Signal & Info. Process. – year: 2007 – volume: 40 start-page: 931 issue: 1 year: 2009 end-page: 934 – volume: 22 start-page: 740 issue: 5 year: 2012 end-page: 753 article-title: Novel 2‐D MMSE subpixel‐based image down‐sampling publication-title: IEEE Transact. Circuits Syst. Video Technol. – volume: 28 start-page: 489 issue: 6 year: 2007 end-page: 491 article-title: A novel voltage driving method using 3‐TFT pixel circuit for AMOLED publication-title: IEEE Electr. Device Lett. – volume: 9 start-page: 632 issue: 8 year: 2013 end-page: 637 article-title: Color difference‐based subpixel rendering for matrix displays publication-title: J. Display Technol. – volume: 43 start-page: 40 issue: 8 year: 2006 end-page: 44 article-title: Displays of a different stripe publication-title: IEEE Spectrum. – volume: 17 start-page: 195 issue: 3 year: 2009 end-page: 202 article-title: RGB‐to‐RGBW conversion with current limiting for OLED displays publication-title: J. Soc. Inf. Disp. – year: 2015 – ident: e_1_2_7_2_1 doi: 10.1109/JDT.2005.858913 – ident: e_1_2_7_9_1 doi: 10.1889/JSID17.3.195 – ident: e_1_2_7_16_1 – volume: 1 issue: 2 year: 2012 ident: e_1_2_7_13_1 article-title: Increasing image resolution on portable displays by subpixel rendering – a systematic overview publication-title: Apsipa Transact. Signal & Info. Process. – volume-title: The Research of Image Display Driving Algorithms and the Related ASIC Realization for AMOLED Panel [D] year: 2015 ident: e_1_2_7_15_1 – ident: e_1_2_7_10_1 doi: 10.1889/1.3256951 – ident: e_1_2_7_18_1 doi: 10.1109/TCSVT.2011.2179458 – ident: e_1_2_7_3_1 doi: 10.1109/TED.2011.2151862 – ident: e_1_2_7_11_1 – ident: e_1_2_7_7_1 doi: 10.1109/MSPEC.2006.1665051 – ident: e_1_2_7_8_1 doi: 10.1111/cgf.12267 – ident: e_1_2_7_17_1 doi: 10.1109/JDT.2013.2251996 – volume: 2 start-page: 185 issue: 12 year: 2016 ident: e_1_2_7_14_1 article-title: Fourier‐domain analysis of display pixel structure for image quality publication-title: J. Display Technol. – ident: e_1_2_7_12_1 – ident: e_1_2_7_4_1 doi: 10.1109/LED.2007.896895 – ident: e_1_2_7_5_1 doi: 10.1002/sdtp.10925 – ident: e_1_2_7_6_1 doi: 10.1109/MSP.2013.2241311 |
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| Snippet | In this paper, an RGB‐to‐RGBG conversion algorithm based on the weighting factor (WF) has been proposed. The gray level of each RGBG sub‐pixel is represented... In this paper, an RGB-to-RGBG conversion algorithm based on the weighting factor (WF) has been proposed. The gray level of each RGBG sub-pixel is represented... |
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| SubjectTerms | Active matrix displays Algorithms AMOLED Conversion conversion algorithm Mean square errors Mean square values Organic light emitting diodes RGBG Signal processing Signal to noise ratio Visual effects Weighting weighting factor |
| Title | An RGB to RGBG conversion algorithm for AMOLED panel |
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