Method of RGBW compensation based on color aberrations of white subpixels and apparatus thereof

A method of RGBW compensation based on color aberrations of white subpixel, wherein, aberrations exist between a color coordinate point Ws of white subpixel of image pixels on a RGBW panel and a standard white color coordinate point Wd under sRGB before compensating, and the method comprises:

• inserting the image pixels based on a first data of RGBW color space;
• analyzing color coordinates of every subpixel of the image pixels on the RGBW panel, and then dividing a triangle RsGsBs with vertices color coordinate points Rs, Gs, and Bs, of red subpixel, green subpixel and green pixel of the image points into three triangle regions, RsGsWs, RsBsWs, BsGsWs, based on taking the color coordinate point Ws as the center point;
• confirming a triangle region where the color coordinate point is located based on ranges of the three triangle regions, RsGsWs, RsBsWs, BsGsWs;
• performing compensating the white subpixel corresponding by the center point Ws via a predetermined normalized proportion to calibrated the first data through two subpixels corresponding to the other two color coordinate points, except the center point Ws, within the triangle region surrounding and locating the color coordinate point Wd;
• exporting the post-compensated a second data of image pixels based on the RGBW color space;
• wherein, steps of performing compensating the white subpixel corresponding by the center point Ws via a predetermined normalized proportion through two subpixels corresponding to the other two color coordinate points, except the center point Ws, within the triangle region surrounding and locating the color coordinate point Wd comprises:
• if the color coordinate point Wd is located within the triangle region BsGsWs, a normalized proportion calculating a luminance among subpixels, the blue subpixel, green subpixel and white subpixel, is BsY, GsY, WsY, and BsY+GsY+WsY=1;
• performing calibration process to the first data by applying the normalized proportion BsY, GsY, WsY to obtain a second data of image pixels based on the RGBW color space,
• Rfo(i)=Ro(i)
• Gfo(i)=Go(i)+Wo(i)*GsY(i)
• Bfo(i)=Bo(i)+Wo(i)*BsY(i)
• Wfo(i)=Wo(i)*WsY(i),
• wherein, Ro(i), Go(i), Bo(i), Wo(i) is a first data of a pixel point i, Rfo(i), Gfo(i), Bfo(i), Wfo(i) is a second data of the pixel point i, BsY(i), GsY(i), WsY(i) is a normalized proportion of a luminance among a blue subpixel, green subpixel and white subpixel of the pixel point i;
• if the color coordinate point Wd is located within the triangle region BsRsWs, a normalized proportion calculating a luminance among the blue subpixel, red subpixel and white subpixel, is BsY, RsY, WsY, and BsY+RsY+WsY=1;
• performing calibration process to the first data by applying the normalized proportion BsY, RsY, WsY to obtain a second data of image pixels based on the RGBW color space,
• Rfo(i)=Ro(i)+Wo(j)*RsY(j)
• Gfo(j)=Go(j)
• Bfo(j)=Bo(j)+Wo(j)*BsY(j)
• Wfo(j)=Wo(j)*WsY(j),
• wherein, Ro(j), Go(j), Bo(j), Wo(j) is a first data of a pixel point j, Rfo(j), Gfo(j), Bfo(j), Wfo(j) is a second data of the pixel point j, BsY(j), RsY(j), WsY(j) is a normalized proportion of a luminance among a blue subpixel, red subpixel and white subpixel of the pixel point j;
• if the color coordinate point Wd is located within the triangle region RsGsWs, a normalized proportion calculating a luminance among the red subpixel, green subpixel and white subpixel, is RsY, GsY, WsY, and RsY+GsY+WsY=1;
• performing calibration process to the first data by applying the normalized proportion RsY, GsY, WsY to obtain a second data of image pixels based on the RGBW color space,
• Rfo(k)=Ro(k)+Wo(k)*RsY(k)
• Gfo(k)=Go(k)+Wo(k)*GsY(k)
• Bfo(k)=Bo(k)
• Wfo(k)=Wo(k)*WsY(k),
• wherein, Ro(k), Go(k), Bo(k), Wo(k) is a first data of a pixel point k, Rfo(k), Gfo(k), Bfo(k), Wfo(k) is a second data of the pixel point k, RsY(k), GsY(k), WsY(k) is a normalized proportion of a luminance among a red subpixel, green subpixel and white subpixel of the pixel point k.