[1] LI J J, NIE X M, LI G S et al. Comparison and research progress of flat panel display technology[J]. Chinese Optics, 11, 695-710(2018).

[3] JI H L, ZHANG P P, CHEN N J et al. Micro-LED display: recent progress and future challenges[J]. Chinese Journal of Liquid Crystals and Displays, 36, 1101-1112(2021).

[4] ZHAO X M, ZHOU X Y, YUAN S C. Comparison and research of LED screen’‍s image quality optimizing technology[J]. Key Engineering Materials, 480-481, 1373-1377(2011).

[5] HUANG S. Research on pixel-level acquisition and display effect improvement technology for Mini/Micro LED[D](2024).

[6] WANG W, ZHAO T T, LIU Q et al. Research and development status of Mini/Micro LED mass transfer technology[J]. Optics and Precision Engineering, 31, 183-199(2023).

[7] DING T F, ZHENG X F, WANG R G et al. Method of pixel multiplexing to increase display screen image analytic degree[P].

[8] ZHENG X F, WANG R G, WANG Y et al. Display panel virtual pixel multiplexing control method[P].

[9] LI M T, CHEN Y L, YU L et al. Pixel arrangement structure, virtual pixel arrangement structure, display panel and control method[P].

[10] YE G H, YIN S Y. Pixel arrangement structure and virtual pixel structure based on same[P].

[11] ZHAO X M, ZHAO Y M, LIU Y et al. Two-dimensional sub-pixel sampling-based super-resolution display method and device[P].

[12] KANG S J. Adaptive weight allocation-based subpixel rendering algorithm[J]. IEEE Transactions on Circuits and Systems for Video Technology, 24, 224-229(2014).

[13] CHEN Y J, WANG X R, ZHANG J L et al. Resolution improvement of integral imaging based on time multiplexing sub-pixel coding method on common display panel[J]. Optics Express, 22, 17897-17907(2014).

[14] XU F, ZHANG J S. The combined-virtual pixels technology for LED display and study of algorithm[J]. Journal of Image and Graphics, 14, 1915-1918(2009).

[15] NADENAU M J. Integration of human color vision models into high quality image compression[D](2000).

[16] CAMPBELL F W, GREEN D G. Optical and retinal factors affecting visual resolution[J]. The Journal of Physiology, 181, 576-593(1965).

[17] DEERING M F. The limits of human vision[C](1998).

[18] KANG S J. Color difference-based subpixel rendering for matrix displays[J]. Journal of Display Technology, 9, 632-637(2013).

[19] SHARMA G, TRUSSELL H J. Digital color imaging[J]. IEEE Transactions on Image Processing, 6, 901-932(1997).

[20] BLANKENBACH K, YAN Q, O’‍BRIEN R J[M]. Handbook of Visual Display Technology.

[21] HILL B, ROGER T, VORHAGEN F W. Comparative analysis of the quantization of color spaces on the basis of the CIELAB color-difference formula[J]. ACM Transactions on Graphics, 16, 109-154(1997).

[22] CHAE S H, YOO C H, SUN J Y et al. Subpixel rendering for the pentile display based on the human visual system[J]. IEEE Transactions on Consumer Electronics, 63, 401-409(2017).

[23] MA B, YANG W H, YIN Y S et al. Research on RGB-delta structure AMOLED sub-pixel rendering algorithm[J]. Laser & Optoelectronics Progress, 57, 101106(2020).

[24] MAHY M, VAN EYCKEN L, OOSTERLINCK A. Evaluation of uniform color spaces developed after the adoption of CIELAB and CIELUV[J]. Color Research & Application, 19, 105-121(1994).

[25] HUANG C Q, YANG Y C, HE J et al. RGB to RGBG conversion algorithm based on weighting factors and related FPGA realization[J]. Chinese Journal of Liquid Crystals and Displays, 32, 572-579(2017).

[26] WANG C, LIU K, DU L. Evaluation and analysis of full reference image quality indicators[J]. Modern Electronics Technique, 46, 39-43(2023).

[27] SAIGO H. Mean square error and variance estimation of the sample ratio under Lahiri’‍s design[J]. Statistics & Probability Letters, 216, 110277(2025).

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

[29] ZENG J, FANG L, PANG J H et al. Subpixel image quality assessment syncretizing local subpixel and global pixel features[J]. IEEE Transactions on Image Processing, 25, 5841-5856(2016).

[30] ZHANG L, ZHANG L, MOU X Q et al. FSIM: a feature similarity index for image quality assessment[J]. IEEE Transactions on Image Processing, 20, 2378-2386(2011).

[31] SHEIKH H R, SABIR M F, BOVIK A C. A statistical evaluation of recent full reference image quality assessment algorithms[J]. IEEE Transactions on Image Processing, 15, 3440-3451(2006).