<p>Due to the problem of hysteretic contact angle and inconsistent aperture caused by charge capture in chromatic inks of electrowetting electronic paper, the reflected brightness and contrast of the display are reduced. The existing optimization methods of active luminous display do not consider the properties of reflective passive display. Combined with chromatic electrowetting characteristics, an electrowetting display algorithm of the brightness enhancement is proposed based on dynamic histogram equalization and multi-scale gamma correction. We perform histogram equalization correction on the brightness by combining the weighting of the aperture ratio and the distribution of the illumination components. Then, corresponding compensation weights are designed based on the different reflection brightness. Furthermore, the illumination component is extracted by multi-scale Gaussian convolution, and multi-scale gamma correction based on different photoelectric characteristics is designed. Ultimately, through threshold discrimination, the images of enhanced brightness are outputted to compensate for the missing or insufficient of the display brightness. The experimental results demonstrate that the images processed by this algorithm after brightness enhancement show certain improvements in objective evaluation indicators. More importantly, the images processed by this algorithm exhibit better brightness details on chromatic electrowetting displays.</p>

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Electrowetting display of multiscale Gamma based on dynamic histogram equilibrium

  • Mingzhen Chen,
  • Zhixian Lin,
  • Shanling Lin,
  • Jianpu Lin,
  • Tailiang Guo

摘要

Due to the problem of hysteretic contact angle and inconsistent aperture caused by charge capture in chromatic inks of electrowetting electronic paper, the reflected brightness and contrast of the display are reduced. The existing optimization methods of active luminous display do not consider the properties of reflective passive display. Combined with chromatic electrowetting characteristics, an electrowetting display algorithm of the brightness enhancement is proposed based on dynamic histogram equalization and multi-scale gamma correction. We perform histogram equalization correction on the brightness by combining the weighting of the aperture ratio and the distribution of the illumination components. Then, corresponding compensation weights are designed based on the different reflection brightness. Furthermore, the illumination component is extracted by multi-scale Gaussian convolution, and multi-scale gamma correction based on different photoelectric characteristics is designed. Ultimately, through threshold discrimination, the images of enhanced brightness are outputted to compensate for the missing or insufficient of the display brightness. The experimental results demonstrate that the images processed by this algorithm after brightness enhancement show certain improvements in objective evaluation indicators. More importantly, the images processed by this algorithm exhibit better brightness details on chromatic electrowetting displays.