所属学科专业：控制科学与工程

导师简介：

张博，男，1985年生，SPIE会员、日本ITE学会会员。多年来一直从事CMOS图像传感器设计、多目成像系统、激光散斑衬比血流成像等领域的研究工作，2013年以来发表学术论文10余篇，其中被SCI、EI收录9篇。

主要研究方向：激光散斑衬比血流成像、多目成像系统

近年来主要科研项目：

1.激光散斑衬比血流成像系统研究（省部级，2019.1-2020.12）

近年来主要科研成果：

1. RTS noise and dark current white defects reduction using selective averaging based on a multi-aperture system, Sensors, vol.14, no.1, pp.1528-1543, Jan. 2014. (SCI, WOS: 000336039100081)

2. Low-light color reproduction by selective averaging in multi-aperture camera with Bayer color filter low noise CMOS image sensors, ITE Transactions on Media Technology and Applications[J], vol. 3, no. 4, pp. 234-239, Jun. 2015.

3.Low-light image enhancement for multiaperture and miltitap system, IEEE Photonics Journal, vol. 8, no. 2, Apr. 2016. (SCI, WOS: 000373053400033)

发表论文：

1. Dual-band multi-aperture enhanced redox imaging of colonic adenomas for endoscopes with a high-performance CMOS imager, 35th Annual International Conference of the IEEE EMBS, ThC06.1, pp.1414-1417, Jul. 2013. (EI: 20134416929927)

2. 10×10-pixel 606kS/s multi-point fluorescence correlation spectroscopy CMOS image sensor, SPIE Photonics West, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XII, vol. 8947, pp. 1-7, Feb. 2014. (EI: 20142417801673)

3. Low noise multi-aperture camera by selective averaging, ITE Technical Group on Information Sensing Technologies, Technical Report, vol.38, no.15, pp. 31-34, Mar. 2014.

4. Single-shot 200Mfps 5×3-aperture compressive CMOS imager, IEEE International Solid-State Circuits Conference (ISSCC), Digest of Technical Papers, 6.4, vol.58, pp.116-117, Feb. 2015. (EI: 20153601243755)

5.A high-sensitivity 2x2 multi-aperture color camera based on selective averaging, Electric Imaging 2015, 9403-11, Feb. 2015. (EI: 20151500739100)

6. Single-event transient imaging with an ultra-high-speed temporally compressive multi-aperture CMOS image sensor, OSA Optics Express, vol. 24, no. 4, pp. 4155-4176, Feb. 2016. (SCI, WOS: 000371433700089)

7. RTS and photon shot noise reduction based on maximum likelihood estimate with multi-aperture optics and semi-photon-counting-level CMOS image sensors, IS&T International Symposium on Electronic Imaging, Issue 11, pp.80-83, Feb. 2017. (EI: 20180704786738)

8. Multi-aperture-based probabilistic noise reduction of random telegraph signal noise and photon shot noise in semi-photon-counting complementary-metal-oxide-semiconductor image sensor, Sensors, vol.18, no.4, 977, Mar. 2018. (SCI, WOS: 000435574800049)

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