Pixel Arrangement and Mapping Algorithm for Improving Saturation and Brightness


  • 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


pixel arrangement, RGBW, mapping algorithm, saturation, brightness


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.


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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