[1] Du S Y. Driving system of electronic paper display based on image enhancement technology[D](2013).

[2] Huitema E, French I. E ink's technicolor moment: the road to color E-Paper took two decades[J]. IEEE Spectr, 59, 30-35(2022).

[3] Kao W C, Hong K D, Hsu C Y. Color reproduction of multi-pigment color electronic papers[C], 1-2(2023). https://doi.org/10.1109/ICCE56470.2023.10043485

[4] Kao W C, Ye J A, Chu M I et al. Image quality improvement for electrophoretic displays by combining contrast enhancement and halftoning techniques[J]. IEEE Trans Consumer Electron, 55, 15-19(2009).

[5] Floyd R W, Steinberg L. An adaptive algorithm for spatial gray scale[C], 75-77(1975).

[6] Lin X W, Lin D. Multitoning technology application in the electric paper books display optimization[J]. Comput Syst Appl, 24, 31-37(2015).

[7] Zhao J, Tang X J. A pixel error diffusion halftoning based on HVS model and edge detection[J]. J Ningxia Univ (Nat Sci Ed), 29, 37-39(2008).

[8] Zeng S Y, Lin S L, Lin Z X et al. Error diffusion algorithm based on neighborhood gray information in electrowetting electronic paper research[J]. Chin J Liq Cryst Disp, 34, 317-323(2019).

[9] Wu K M, Inoue K, Hara K. Neugebauer models for color error diffusion halftoning[J]. J Imaging, 6, 23(2020).

[10] Gong Y H, Tang W M, Zhou L B et al. Quarter Laplacian filter for edge aware image processing[C], 1959-1963(2021). https://doi.org/10.1109/ICIP42928.2021.9506503

[11] Sun H X, Zhang Y H, Luo F L. Color edge detection based on HSI color space[J]. Opt Tech, 35, 221-224,228(2009).

[12] Lin S H, Wang J W, Shen Y F et al. Image inpainting by neighborhood similarity[J]. Comput Eng Appl, 46, 190-191,220(2010).

[13] Knox K T, Eschbach R. Threshold modulation in error diffusion[J]. J Electron Imaging, 2, 185-192(1993).

[14] Kwak N J, Ryu S P, Ahn J H. Edge-enhanced error diffusion halftoning using human visual properties[C], 499-504(2006). https://doi.org/10.1109/ICHIT.2006.253533

[15] Zeng Z, Liu G Y, Yang M Y et al. Simulation and analysis of edge ghosting for microcapsule E-Paper based on particles dynamics[J]. SID Symp Dig Tech Papers, 53, 29-32(2022).

[17] Martin D, Fowlkes C, Tal D et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics[C](2001). https://doi.org/10.1109/ICCV.2001.937655

[18] Yang M, Sowmya A. An underwater color image quality evaluation metric[J]. IEEE Trans Image Process, 24, 6062-6071(2015).

[19] ITU-R . Methodologies for the subjective assessment of the quality of television pictures: Recommendation ITU-R BT. 500-14[S](2019).

[20] Mantiuk R K, Tomaszewska A, Mantiuk R. Comparison of four subjective methods for image quality assessment[J]. Comput Graphics Forum, 31, 2478-2491(2012).