光学学报, 2017, 37 (3): 0318012, 网络出版: 2017-03-08   

一种监控视频人脸图像超分辨技术 下载: 695次

A Super Resolution Technology of Face Image for Surveillance Video
王嫣然 1,2,*罗宇豪 1,2尹东 1,2
作者单位
1 中国科学技术大学信息科学技术学院, 安徽 合肥 230027
2 中国科学院电磁空间信息重点实验室, 安徽 合肥 230027
引用该论文

王嫣然, 罗宇豪, 尹东. 一种监控视频人脸图像超分辨技术[J]. 光学学报, 2017, 37(3): 0318012.

Wang Yanran, Luo Yuhao, Yin Dong. A Super Resolution Technology of Face Image for Surveillance Video[J]. Acta Optica Sinica, 2017, 37(3): 0318012.

参考文献

[1] Hell S W, Wichmann J. Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy[J]. Optics Letters, 1994, 19(11): 780-782.

[2] Gustafsson M G L. Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy[J]. Journal of Microscopy, 2000, 198(2): 82-87.

[3] Betzig E, Patterson G H, Sougrat R, et al. Imaging intracellular fluorescent proteins at nanometer resolution[J]. Science, 2006, 313(5793): 1642-1645.

[4] Rust M J, Bates M, Zhuang X. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)[J]. Nature Methods, 2006, 3(10): 793-795.

[5] Park S C, Park M K, Kang M G. Super-resolution image reconstruction: a technical overview[J]. IEEE Signal Processing Magazine, 2003, 20(4): 21-36.

[6] Peleg T, Elad M. A statistical prediction model based on sparse representations for single image super-resolution[J]. IEEE Transactions on Image Processing, 2014, 23(6): 2569-2582.

[7] Kim K I, Kwon Y. Single-image super-resolution using sparse regression and natural image prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(6): 1127-1133.

[8] Yang C Y, Ma C, Yang M H. Single-image super-resolution: a benchmark[C]. European Conference on Computer Vision. Springer International Publishing, 2014, 8692: 372-386.

[9] Keys R. Cubic convolution interpolation for digital image processing[J]. IEEE Transactions on Acoustics Speech & Signal Processing, 1981, 29(6): 1153-1160.

[10] Duchon C E. Lanczos filtering in one and two dimensions[J]. Journal of Applied Meteorology, 1979, 18(8): 1016-1022.

[11] Fattal R. Image upsampling via imposed edge statistics[J]. Acm Transactions on Graphics, 2007, 26(3): 95.

[12] Sun J, Xu Z, Shum H Y. Image super-resolution using gradient profile prior[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2008: 1-8.

[13] Dong C, Loy C C, He K, et al. Image super-resolution using deep convolutional networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2016, 38(2): 295-307.

[14] Kim K L, Kwon Y. Example-based learning for single-image super-resolution[C]. Joint Pattern Recognition Symposium. Springer Berlin Heidelberg, 2008, 5096: 456-465.

[15] Sheikh H R, Bovik A C, Cormack L. No-reference quality assessment using natural scene statistics: JPEG2000[J]. IEEE Transactions on Image Processing, 2005, 14(11): 1918-1927.

王嫣然, 罗宇豪, 尹东. 一种监控视频人脸图像超分辨技术[J]. 光学学报, 2017, 37(3): 0318012. Wang Yanran, Luo Yuhao, Yin Dong. A Super Resolution Technology of Face Image for Surveillance Video[J]. Acta Optica Sinica, 2017, 37(3): 0318012.

本文已被 3 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!