Dianzi Jishu Yingyong (Mar 2020)
Research on hierarchical mapping technology of electrowetting electronic paper based on human visual system
Abstract
Aiming at the problem of poor image contrast and loss of visual information on electrowetting electronic paper display, this paper proposes an image hierarchical mapping technique based on human visual system. Firstly, the image is decomposed into the base layer and the detail layer, and the brightness of the base layer is enhanced. Then, the enhanced image is partitioned by Weber-Fechner law to realize the partition logarithmic mapping, and weighted and merged with the detail layer as the output image. At the same time, in order to achieve precise modulation of the electrowetting display, the brightness is local linearly stretched. The experimental results show that compared with traditional mapping methods, the entropy value of the algorithm in this paper is closer to the original map, the PSNR,SSIM and UIQI values of image evaluation index are respectively improved by 0.2~0.6,0.07~0.4 and 0.1~0.6. The method makes the relationship between the corrected voltage and brightness more linear, increases the image details on the electrowetting electronic paper, improves the contrast, and the overall visual effect is better.
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