[1] 常军, 杨东升, 孙智慧, 等．应用在大尺寸LCD背照明的LED元件设计［J］．发光学报, 2008, 29(1): 195-199．

    CHANG J, YANG D S, SUN Z H, et al. LED design using for large dimension LCD backlight ［J］. Chinese Journal of Luminescence, 2008, 29(1): 195-199. (in Chinese)

[2] 张磊．基于图像分析的液晶显示动态调光问题研究［D］．合肥: 合肥工业大学, 2016．

    ZHANG L. Research on liquid crystal display dimming issues based on image analysis ［D］. Hefei: Hefei University of Technology, 2016. (in Chinese)

[3] JIN Y, KIM J, LEE H J. Reduction of quantization errors caused by dynamic LCD backligth scaling［J］.Ieice Electron Express, 2009,6(9):535-539.

[4] JIN J C, KIM Y J. Human visual system-aware dimming method combining pixel compensation and histogram specification for TFT-LCDs ［J］. KSII Transactions on Internet and Information Systems, 2017, 11(12): 5998-6016.

[5] CHAN W C S, CHOI W P I, LAI W Y S. Methods and apparatus of dynamic backlight control: US, 8102360 ［P］. 2012-01-24.

[6] CHEN J Z, MA B P, LI R, et al. Image dimming perceptual model based pixel compensation and backlight adjustment ［J］. Journal of Display Technology, 2015, 11(9): 744-752.

[7] 冯奇斌, 何会杰, 张伟伟, 等．用于侧出式发光二极管背光的全局动态调光算法［J］．光学 精密工程, 2012, 20(7): 1455-1462．

    FENG Q B, HE H J, ZHANG W W, et al. Global dimming algorithm for side-lit LED backlights ［J］. Optics and Precision Engineering, 2012, 20(7): 1455-1462. (in Chinese)

[8] 何会杰, 冯奇斌, 张磊, 等．基于图像分类的全局动态调光算法［J］．光学学报, 2013, 33(8): 0823002．

    HE H J, FENG Q B, ZHANG L, et al. Global dimming algorithm based on image classification ［J］. Acta Optica Sinica, 2013, 33(8): 0823002. (in Chinese)

[9] 向艳, 冯奇斌, 吕国强．侧出LED背光动态调光算法研究［J］．液晶与显示, 2014, 29(2): 293-297．

    XIANG Y, FENG Q B, LV G Q. Dynamic dimming algorithm in side-lit LED backlights ［J］. Chinese Journal of Liquid Crystals and Displays, 2014, 29(2): 293-297. (in Chinese)

[10] 黄晞．显示技术中几个与心理学有关的问题［J］．发光与显示, 1982(4): 73-78．

    HUANG X. Several psychology-related issues in display technology ［J］. Chinese Journal of Luminescence, 1982(4): 73-78. (in Chinese)

[11] HANMANDLU M, VERMA O P, KUMAR N K, et al. A novel optimal fuzzy system for color image enhancement using bacterial foraging ［J］. IEEE Transactions on Instrumentation and Measurement, 2009, 58(8): 2867-2879.

[12] DURAND F, DORSEY J. Fast bilateral filtering for the display of high-dynamic-range images ［C］//Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques. San Antonio, Texas: ACM, 2002: 257-266.

[13] TOMASI C, MANDUCHI R. Bilateral filtering for gray and color images ［C］//Proceedings of the 6th International Conference on Computer Vision. Bombay, India, India: IEEE, 1998: 839-846.

[14] HAREL J, KOCH C, PERONA P. Graph-based visual saliency ［C］//Proceedings of the 19th International Conference on Neural Information Processing Systems. Canada: ACM, 2006: 545-552.

[15] HOU X D, ZHANG L Q. Saliency detection: a spectral residual approach ［C］//Proceedings of 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, MN, USA: IEEE, 2007: 1-8.

[16] CHENG M M, ZHANG G X, MITRA N J, et al. Global contrast based salient region detection ［C］//Proceedings of CVPR 2011. Colorado Springs, CO, USA: IEEE, 2011: 409-416.

[17] LIU Z, ZOU W B, LE MEUR O. Saliency tree: a novel saliency detection framework ［J］. IEEE Transactions on Image Processing, 2014, 23(5): 1937-1952.

[18] YANG J, YANG M H. Top-down visual saliency via joint CRF and dictionary learning ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(3): 576-588.

[19] 赵青, 何建华, 温鹏．基于平均梯度和方向对比度的图像融合方法［J］．计算机工程与应用, 2012, 48(24): 165-168．

    ZHAO Q, HE J H, WEN P. Image fusion method based on average grads and wavelet contrast ［J］. Computer Engineering and Applications, 2012, 48(24): 165-168. (in Chinese)

[20] 杜欣宇, 陈丽芳, 刘渊．基于分块信息熵的彩色图像融合算法［J］．计算机系统应用, 2015, 24(7): 22-28．

    DU X Y, CHEN L F, LIU Y. Color image fusion algorithm based on block information entropy ［J］. Computer Systems & Applications, 2015, 24(7): 22-28. (in Chinese)