改进电润湿电子纸图像自适应增强算法

Improved image adaptive enhancement algorithm for electrowetting electronic paper

由于电润湿显示器受显示技术的限制存在图像失真、边缘细节丢失的问题,为了提高显示质量,提出一种改进电润湿电子纸图像自适应增强算法。首先,通过基于局部标准差的引导滤波获得显著图像,然后,结合显著图以及改进的引导滤波获得钝化模糊图像,有效消除引导滤波平滑图像后产生的光晕现象;最后,将原图像与钝化模糊图像作差提取图像中的细节部分,利用改进的非锐化掩模将细节部分与原图像自适应融合。实验结果表明,相较于传统线性非锐化掩模方法,该方法其图像评价指标H值、PSNR值分别平均提高了0.2%、28.4%,AMBE值平均降低了88.4%,SSIM的值更加接近1。因此,该算法使得图像显示在电润湿显示器上细节纹理更加清晰可见,同时避免图像过度增强,取得了较好的显示效果。

Due to the limitations of display technology,electrowetting displays have the problems of image distortion and loss of edge details.In order to improve the display quality,this paper proposes an improved unsharp masking(UM)image adaptive enhancement algorithm based on electrowetting electronic paper.Firstly,salient images are obtained by guided filtering based on local standard deviation.Then,the dull and blurred image is obtained through the saliency map and improved guided filtering,which effectively eliminates the halo phenomenon generated after smoothing the image.Finally,the difference between the original image and the blurred image is used to extract the details of the image,and the improved unsharp masking algorithm is used to adaptively merge the details with the original image.The experimental results show that compared with the traditional linear unsharp mask method,the image evaluation index H value and PSNR value of this method are increased by 0.2%and 28.4%on average,the AMBE value is reduced by 88.4%on average,and the SSIM value is closer to 1.Therefore,this algorithm makes the detail of the image displayed on the electrowetting display more clearly,avoids the excessive enhancement of the image,and achieves a better display effect.