P‐49: New RGBW Mapping Algorithm for High‐Quality‐Image LCDs

Pan, Biao; Yuan, Jialei; Zhong, Xinhui; Cui, Hongqing; Li, De-jiun; Lung, Po-Hua

doi:10.1002/sdtp.11908

Symp Digest of Tech Papers

2017

DOI: 10.1002/sdtp.11908

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P‐49: New RGBW Mapping Algorithm for High‐Quality‐Image LCDs

Biao Pan¹,

Jialei Yuan²,

Xinhui Zhong³

et al.

Abstract: The key issue preventing RGBW LCDs from wide application in the display market was probably the absence of a proper RGB-to-RGBW mapping algorithm with no color-distortion. In this paper, a new RGBW mapping algorithm was designed so that the hue and saturation remain unchanged from the original color. Perception experiment for new algorithm based on our intellectual energysaving technology (IEST) product indicated that it has superior performance upon conventional RGBW and almost indiscernible to common RGB.

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Cited by 2 publications

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P‐4.9: A Scheme of Eliminating Color Layer Noise in RGBW

Peng

Sun

Shi

et al. 2021

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Displays that employ RGBW primaries have demonstrated greater power efficiency than similar displays with only RGB primaries. Unfortunately, RGBW systems with algorithms that use white to augment luminance generally have color layer noise affected the visual effect and need to be solved. Color layer noise visually shows the phenomenon of uneven color transition, showing a banded change. According to the cause of the color layer noise, we propose an algorithm to reduce the brightness difference between adjacent pixels in the location of color layer noise. Firstly, the gradient feature is used to mark the details in RGB space in order to distinguish the color layer from the texture details. Then the color layer is detected in RGBW space and the brightness of the color layer is smoothed to reduce the brightness difference of the adjacent pixels. The experiment on 6.5 inch RGBW TFT‐LCD screen show that the algorithm can effectively remove the color layer, and the details are lossless.

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P‐4.9: A Scheme of Eliminating Color Layer Noise in RGBW

Peng

Sun

Shi

et al. 2021

Symp Digest of Tech Papers

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Accurate luminance and chromaticity controls of digital colors using CIE-based RGBW algorithms

et al. 2023

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Emerging high brightness of color displays and high signal-to-noise ratio of camera sensors require an addition of white (W) subpixels to ordinary red, green, and blue (RGB) subpixels. Conventional algorithms converting RGB signals to RGBW signals suffer from reduced chroma of highly saturated colors and complicated coordinate transformations between RGB color spaces and color spaces defined by the Commission internationale de l’éclairage (CIE). In this work, we developed a complete set of RGBW algorithms to digitally code a color in the CIE-based color spaces, making complicated processes including color space transformations and white balancing become largely unnecessary. The analytic three-dimensional gamut can be obtained so that the maximal hue and luminance of a digital frame could be simultaneously obtained. Exemplary applications in adaptive controls of the colors of an RGB display in accordance with the W component of background light validate our theory. The algorithm opens an avenue toward accurate manipulations of digital colors for RGBW sensors and displays.

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P‐49: New RGBW Mapping Algorithm for High‐Quality‐Image LCDs

Cited by 2 publications

References 9 publications

P‐4.9: A Scheme of Eliminating Color Layer Noise in RGBW

P‐4.9: A Scheme of Eliminating Color Layer Noise in RGBW

Accurate luminance and chromaticity controls of digital colors using CIE-based RGBW algorithms

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