[1] 李德伟. 应急领域中基于COFDM的无线传输系统研究和应用[J]. 无线电工程, 2019, 49(8): 695-698.

    Li D W. Research and application analysis of wireless transmission system based on COFDM in emergency field[J]. Radio Engineering, 2019, 49(8): 695-698.

[2] 郭志涛, 韩海净, 孔江浩, 等. 基于Android移动终端的多功能视频监控系统设计[J]. 现代电子技术, 2018, 41(16): 96-99, 103.

    Guo Z T, Han H J, Kong J H, et al. Design of multifunctional video surveillance system based on Android mobile terminal[J]. Modern Electronics Technique, 2018, 41(16): 96-99, 103.

[3] 刘锦杨, 戚飞虎. 一种基于JPEG2000的无线图像传输方法[J]. 计算机工程, 2004, 30(13): 140-142.

    Liu J Y, Qi F H. A new wireless image transmission technique based on JPEG2000[J]. Computer Engineering, 2004, 30(13): 140-142.

[4] 饶哲宇, 王进华. 基于人眼视觉系统的JPEG压缩算法[J]. 广东化工, 2018, 45(1): 22-23, 31.

    Rao Z Y, Wang J H. An algorithm of JPEG image compression based on human visual system[J]. Guangdong Chemical Industry, 2018, 45(1): 22-23, 31.

[5] 张雅媛, 孔令罔. 一种基于改进量化表的JPEG图像压缩算法[J]. 包装工程, 2016, 37(13): 189-194.

    Zhang Y Y, Kong L W. A JPEG image compression algorithm based on improved quantization table[J]. Packaging Engineering, 2016, 37(13): 189-194.

[6] 季通明, 鲍胜利. JPEG2000图像压缩算法在Android平台的应用[J]. 计算机应用, 2017, 37(S2): 203-206.

    Ji T M, Bao S L. Application of JPEG2000 image compression algorithm in Android platform[J]. Journal of Computer Applications, 2017, 37(S2): 203-206.

[7] 李玉峰, 吴蔚, 王恺, 等. 基于GPGPU的JPEG2000图像压缩方法[J]. 电子器件, 2013, 36(2): 163-168.

    Li Y F, Wu W, Wang K, et al. JPEG2000 image compression method based on GPGPU[J]. Chinese Journal of Electron Devices, 2013, 36(2): 163-168.

[8] 张敏华, 张剑贤, 裘雪红, 等. 基于OpenCL的JPEG压缩算法并行化设计与实现[J]. 计算机工程与科学, 2017, 39(5): 855-860.

    Zhang M H, Zhang J X, Qiu X H, et al. Parallel design and implementation of JPEG compression algorithm based on OpenCL[J]. Computer Engineering & Science, 2017, 39(5): 855-860.

[9] 张盼, 张为. 多级离散小波变换的高效超大规模集成架构[J]. 光学学报, 2019, 39(4): 0412004.

    Zhang P, Zhang W. Efficient very large scale integration architecture of multi-level discrete wavelet transform[J]. Acta Optica Sinica, 2019, 39(4): 0412004.

[10] 李其虎, 文运丰, 贾瑞才, 等. 无人飞行器超低延时高速并行图像压缩系统[J]. 光学精密工程, 2013, 21(11): 2914-2921.

    Li Q H, Wen Y F, Jia R C, et al. Rapid and parallel image compression system with ultra-low delay for unmanned aerial vehicles[J]. Optics and Precision Engineering, 2013, 21(11): 2914-2921.

[11] 穆晓芳, 邓红霞, 郭虎升, 等. 基于彩色可见光的大数据视频流并行编码与传输算法[J]. 重庆理工大学学报(自然科学), 2019, 33(6): 158-164.

    Mu X F, Deng H X, Guo H S, et al. Parallel coding and transmission algorithm for big data video streaming based on color visible light[J]. Journal of Chongqing University of Technology (Natural Science), 2019, 33(6): 158-164.

[12] 李旭东. 抗JPEG压缩攻击的DWT域图像量化水印算法[J]. 光电子·激光, 2012, 23(2): 342-348.

    Li X D. JPEG-compression-attack resistant image quantization watermarking algorithm in DWT domain[J]. Journal of Optoelectronics·Laser, 2012, 23(2): 342-348.

[13] 王云会, 杨明华, 谭励, 等. 一种基于帧内压缩的视频实时传输方法[J]. 计算机应用研究, 2014, 31(9): 2824-2827, 2831.

    Wang Y H, Yang M H, Tan L, et al. Method on real-time video transmission based on intra-frame compression[J]. Application Research of Computers, 2014, 31(9): 2824-2827, 2831.

[14] 惠巧娟, 李洪安, 陆焱. 一种基于小波变换和人类视觉系统的图像压缩算法[J]. 电子测量与仪器学报, 2016, 30(12): 1838-1844.

    Hui Q J, Li H A, Lu Y. Image compression algorithm based on wavelet transform and HVS[J]. Journal of Electronic Measurement and Instrumentation, 2016, 30(12): 1838-1844.

[15] 姚军财, 刘贵忠. 一种基于人眼对比度敏感视觉特性的图像自适应量化方法[J]. 电子与信息学报, 2016, 38(5): 1202-1210.

    Yao J C, Liu G Z. An adaptive quantization method of image based on the contrast sensitive characteristics of human visual system[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1202-1210.

[16] Wang J X, Jun E. VLSI design of a high throughput JPEG2000 9/7 discrete wavelet transform[J]. Journal of Southeast University (English Edition), 2015, 31(1): 19-24.

[17] 朱新山, 姚思如, 孙彪, 等. 图像质量评价: 融合视觉特性与结构相似性指标[J]. 哈尔滨工业大学学报, 2018, 50(5): 121-128.

    Zhu X S, Yao S R, Sun B, et al. Image quality evaluation: fusion of visual characteristics and structural similarity index[J]. Journal of Harbin Institute of Technology, 2018, 50(5): 121-128.

[18] 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, 2004, 13(4): 600-612.

[19] 李一凡, 李朝锋, 桑庆兵. 四元数小波变换优化单目图的无参考立体图像质量评价[J]. 激光与光电子学进展, 2019, 56(18): 181006.

    Li Y F, Li C F, Sang Q B. Quality evaluation of unreferenced stereo images for quaternion wavelet transform optimized monocular graphs[J]. Laser & Optoelectronics Progress, 2019, 56(18): 181006.

[20] 孔繁锵, 周永波, 沈秋, 等. 基于卷积神经网络的端到端多光谱图像压缩方法[J]. 中国激光, 2019, 46(10): 1009001.

    Kong F Q, Zhou Y B, Shen Q, et al. An end-to-end multi-spectral image compression method based on convolutional neural network[J]. Chinese Journal of Lasers, 2019, 46(10): 1009001.

[21] 蔡剑华, 肖永良, 黎小琴. 基于广义S变换和奇异值分解的近红外光谱去噪[J]. 光学学报, 2018, 38(4): 0430005.

    Cai J H, Xiao Y L, Li X Q. Near infrared spectral denoising based on generalized S transform and singular value decomposition[J]. Acta Optica Sinica, 2018, 38(4): 0430005.