Image Enhancement Algorithm of Electrowetting Display Based on Image Segmentation and Dynamic Histogram Equalization

Junxia WAN; Shanling LIN; Ting MEI; Zhixian LIN; Tailiang GUO

doi:10.3788/gzxb20225102.0210005

[1] R A HAYES, B J FEENSTRA. Video-speed electronic paper based on electrowetting. Nature, 425, 383-385(2003).

[2] Yong DENG, Biao TANG, Yuanyuan GUO et al. Progress in electrowetting colored oil materials. Journal of South China Normal University (Natural Science Edition), 48, 31-36(2016).

[3] Biao TANG, Qing ZHAO, Min ZHOU et al. Research progress on printed electrowetting display technology. Journal of South China Normal University (Natural Science Edition), 48, 1-8+134(2016).

[4] Tiantian LI, Shanling LIN, Zhixian LIN et al. Research on hierarchical mapping technology of electrowetting electronic paper based on human visual system. Computer Technology and Its Applications, 46, 86-91(2020).

[5] Suyun ZENG, Shanling LIN, Zhixian LIN et al. Error diffusion algorithm based on neighborhood gray information in electrowetting electronic paper research. Chinese Journal of Liquid Crystals and Displays, 34, 317-323(2019).

[6] S D CHEN, A R RAMLI. Minimum mean brightness error bi-histogram equalization in contrast enhancement. IEEE Transactions on Consumer Electronics, 49, 1310-1319(2003).

[7] Shengkui DAI, Zheng ZHONG, Zhengwei HUANG. Maximum entropy model based bi-histogram equalization algorithm. Acta Electronica Sinica, 47, 678-685(2019).

[8] M ABDULLAH-AL-WADUD, M HASANUL KABIR, DEWAN MALI AKBER et al. A dynamic histogram equalization for image contrast enhancement. IEEE Transactions on Consumer Electronics, 53, 593-600(2007).

[9] C H OOI, N A M ISA. Quadrants dynamic histogram equalization for contrast enhancement. IEEE Transactions on Consumer Electronics, 56, 2552-2559(2010).

[10] Shanling LIN, Zhixian LIN, Tailiang GUO et al. Contrast enhancement by intensity preservation-based dynamic histogram equalization for electrowetting display. IEEJ Transactions on Electrical and Electronic Engineering, 15, 121-127(2020).

[11] Meiyan CAI, Qingxian WU, Changsheng JIANG. Target image segmentation based on modified Otsu algorithm. Electronics Optics &Control, 38, 118-119+151(2007).

[12] He YAN, Jie LIU, Dehong YANG et al. An improved algorithm of the maximum entropy image segmentation, 157-160(2014).

[13] N OTSU. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9, 62-66(1979).

[14] T PUN,. A new method for gray-level picture thresholding using the entropy of the histogram. Signal Processing, 2, 223-237(1980).

[15] P MOHAMMADI, A EBRAHIMI-MOGHADAM, S SHIRANI. Subjective and objective quality assessment of image: a survey. Majlesi Journal of Electrical Engineering, 9, 55-83(2015).

[16] Zhou WANG, A C BOVIK, H R SHEIKH et al. Image quality assessment from error visibility to structural similarity. IEEE Transactions in Image Processing, 13, 600-612(2004).