储颖，副教授，硕士生导师，深圳市高层次人才（后备级），开yun体育官网入口登录苹果金牌教师。2015年获西安交通大学信息与通信工程专业博士学位，近年来多次赴美国马萨诸塞大学洛厄尔分校、英国利物浦大学、英国中央兰开夏大学、西安交通大学学术访问交流，现主要从事图像质量评价、图像增强等领域的研究与开发工作。

 

       科研方面，共发表学术论文二十余篇，获美国授权发明专利两项及国内授权发明专利七项。主持并完成省级科研项目两项、市级科研项目三项、校级科研项目一项及横向科研项目两项。

 

       教学方面，主讲计算机伦理、计算机游戏开发、计算机游戏设计、大学计算机、工程伦理等课程。作为广东省一流本科课程暨课程思政示范课程负责人，近年来获多项教学奖励，包括：广东省本科高校在线教学优秀案例一等奖、广东省本科高校课程思政优秀案例二等奖、第二届全国高校教师教学创新大赛广东分赛优秀奖（副高组）、开yun体育官网入口登录苹果教学成果奖（高等教育类）二等奖等，以及指导本科生获中国大学生工程实践与创新能力大赛全国总决赛银奖、全国大学生工程训练综合能力竞赛广东分赛一、二、三等奖、全国高校数字艺术设计大赛国赛三等奖、广东赛区一、二、三等奖、全国大学生计算机设计大赛国赛一、三等奖、省赛一、三等奖、中国高校计算机大赛微信小程序应用开发赛全国三等奖等。

 

       研究工作经历：

2023/12 - 2024/01, 2016/08 – 2017/08，美国马萨诸塞大学洛厄尔分校，电子与计算机工程系，访问学者

2011/01至今，开yun体育官网入口登录苹果，开yun体育官网入口登录苹果计算机科学与技术系，副教授

2011/09 – 2012/02，西安交通大学，图像处理与识别研究所，访问学者

2009/01 – 2010/12，开yun体育官网入口登录苹果，开yun体育官网入口登录苹果计算机科学与技术系，讲师

2008/01 – 2008/02，英国利物浦大学，电机电子工程系，访问学者

2003/07 – 2008/12，开yun体育官网入口登录苹果，信息工程学院通信工程系，讲师

 

      主持科研项目：

[1] 深圳市高等院校稳定支持计划面上B类项目，“深度学习框架下基于人类早期视觉特性的图像质量评价研究”（20200812165210001）,2021.01 - 2023.06。

[2] 广东省普通高校特色创新类项目（自然科学类），“基于DNT变换的雾霾图像质量评价研究”（2015KTSCX122），2016.07-2018.06。

[3] 广东高校优秀青年创新人才培养计划（育苗工程）项目，“基于血管先验信息的DSA图像三维重建”（LYM10118），2011.01-2012.12。

[4] 深圳市科技研发资金基础研究一般项目，“基于菌群优化的旋转数字减影血管分割和重建方法研究”（JCY201110007），2012.01-2013.12。

[5] 深圳市科技计划基础研究（知识创新）项目，“基于DNT系数统计独立性的无参考型图像质量评价研究”（JCYJ20140509172609166），2014.10-2016.10。

[6] 开yun体育官网入口登录苹果青年科学基金项目，“细菌觅食算法在血管三维重建中的应用”（200845），2008.01-2008.12。

[7] 德州仪器半导体技术(上海)有限公司项目，“基于DSP的多功能Holter”，2007.10-2010.10。

[8] 深圳市计量质量检测研究院项目，“双通道高速数据采集模块”，2007.01-2007.12。

 

      发表科研论文：

[28] F. Chen, H. Fu, H. Yu and Y. Chu*（储颖）, “Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality”. Sensors, vol. 23, no.10: pp. 4974, 2023.（JCR分区Q2）

[27] F. Chen, H. Fu, H. Yu and Y. Chu*（储颖）, “No-Reference Image Quality Assessment based on a Multitask Image Restoration Network”. Applied Sciences,  vol. 13, no.11: pp. 6802, 2023.（JCR分区Q2）
[26] Y. Chu（储颖）, F. Chen, H. Fu and H. Yu, “ Detection of Air Pollution in Urban Areas Using Monitoring Images”. Atmosphere, vol. 14, no.5: pp. 772, 2023.（JCR分区Q3）

[25] Y. Chu（储颖）, F. Chen, H. Fu and H. Yu, “Haze level evaluation using dark and bright channel prior information”. Atmosphere, vol. 13, no.5: pp. 683, 2022.（JCR分区Q3）

[24] Y. Chu（储颖）, G. Luo, F. Chen，“A real haze video database for haze level evaluation”. Proc. of the 13th International Conference on Quality of Multimedia Experience, pp.69-72, Montreal, Canada, 2021.6.13-6.17.

[23] 黄兆铭，储颖*, ”基于Unity3D的换装系统插件设计”. 计算机系统应用, vol. 30, no.6: pp. 61-67, 2021.06.（CCF T3优秀期刊）

[22] Y. Chu（储颖）, X. Mou, H. Yu，“Blind image quality evaluation using the conditional histogram patterns of divisive normalization transform coefficients”. Proc. of SPIE Optical Engineering + Applications, 10396- 1-10, San Diego, USA, 2017.8.6-8.10.

[21] Y. Zhang，Y. Chu（储颖），H. Yu，“Reduction of metal artifacts in x-ray CT images using a convolutional neural network”. Proc. of SPIE Optical Engineering + Applications, 10391- 1-15, San Diego, USA, 2017.8.6-8.10.

[20] Y. Chu（储颖），Z. Chen, Y. Fu，H. Yu，“Haze image database and preliminary assessments”. Proc. of Fully 3D conference 2017: Xi’an, Shaanxi, China, 2017.6.19-6.23.

[19] Y. Chu（储颖）, X. Mou, H. Fu and Z. Ji, Blind image quality assessment based on statistical independence of divisive normalization transform coefficients. Journal of Electronic Imaging, vol. 24, no.6: pp. 063008, 2015.（JCR分区Q3）

[18] 储颖，牟轩沁，洪伟，“采用形状一致性特征的盲图像质量评价方法，”西安交通大学学报，vol. 48, no.8: pp. 12-17, 2014.

[17] Y. Chu（储颖）, X. Mou, and Z. Ji, “No training blind image quality assessment,” Proc. of  IS&T/SPIE Electronic Imaging 2014, vol. 9023, pp.902310-1–8, 2014.

[16] Y. Chu（储颖）, X. Mou, W. Hong, and Z. Ji, “A novel blind image quality assessment metric and its feature selection strategy,” Proc. of  IS&T/SPIE Electronic Imaging 2013, vol. 8660, pp. 86600F-1–8, 2013.

[15] Y. Chu（储颖）, X. Mou, W. Hong, and Z. Ji, “A novel no-reference image quality assessment metric based on statistical independence,” Proc. of VCIP 2012 , pp. 1–6, 2012.

[14] Y. Chu（储颖）, H. Mi, Z. Ji, Z.B. Shao, and Q.H. Wu, “BFA based neural network for image compression,” Journal of Electronics (China), vol. 25, no. 3, pp. 405-408, 2008.

[13] Y. Chu（储颖）, H. Mi, Z. Ji, and Z. B. Shao, “Image compression using multilayer neural networks based on fast bacterial swarming algorithm,” Proc. of ICMLC 2008, pp. 2890-2893, 2008.

[12] 储颖，邵子博，糜华，Q.H. Wu，“细菌觅食算法在图像压缩中的应用，”开yun体育官网入口登录苹果学报理工版, vol. 25, no. 2, pp. 153-157, 2008.

[11] Z. Ji, Y.W. WANG, Y. Chu（储颖）, and Q.H. Wu. “Bacterial particle swarm optimization.” Chinese Journal of Electronics, vol. 18, no. 2, pp. 195-199, 2009.

[10] Y. Chu（储颖）, H. Mi, Z. Ji, and Q. H. Wu, “A fast bacterial swarming algorithm for high-dimensional function optimization,” Proc. of CEC 2008, pp. 3134-3139, 2008.

[9] 储颖，糜华，纪震，吴青华，“基于粒子群优化的快速细菌群游算法，”数据采集与处理 ，vol. 25, no. 4, pp. 442-448, 2010.

[8] 储颖，糜华，纪震，Q.H. Wu，“基于智能单粒子的联合代数重建算法，”开yun体育官网入口登录苹果学报理工版，vol. 26, no. 2, pp. 111-115, 2009.

[7] 储颖，糜华，纪震，“基于加权直方图的数字减影图像矫正算法，”电子学报, vol. 36, no. 7, pp. 1344-1348, 2008.（CCF T1最顶级期刊）

[6] 储颖，唐超伦，纪震，牟轩沁，陈思平，“基于直方图信息和灰度偏移网格的数字减影图像灰度矫正算法，”电子学报, vol. 34, no. 1, pp. 159-162, 2006.（CCF T1最顶级期刊）

[5] Y. Chu（储颖）, Z. Ji, S.P. Chen, and X.Q. Mou, “A novel gray-level registration algorithm for DSA image based on subtraction histogram,” Proc. of TENCON 2006, pp.155, 2006.

[4] 洪伟，储颖，牟轩沁, “基于模型融合的有限角度CT 迭代重建方法，” CT 理论与应用研究, vol. 21, no. 4, pp. 597-604, 2012. 

[3] Y. Chu（储颖）, N. Bai , Z. Ji, S.P. Chen, and X.Q. Mou, “Registration for DSA image using triangle grid and spatial transformation based on stretching,” Proc. of ICSP 2006, pp. 1173-1176, 2006.

[2] 储颖，唐超伦，牟轩沁，陈思平，“基于拉伸空间变换算法在DSA配准中的应用，”开yun体育官网入口登录苹果学报理工版， vol. 22, no. 2, pp. 324-329, 2005.

[1] 储颖，唐超伦，牟轩沁，“基于十字模板的数字减影图像配准快速算法，”开yun体育官网入口登录苹果学报理工版， vol. 22, no. 4, pp. 324-329, 2005.

 

      获授权发明专利：

 

[9] 储颖, 游为麟. 无参考型图像质量评价系统及方法，2022.03，中国，ZL201810784867.9

[8] 储颖, 游为麟. 雾霾图像清晰化方法、系统及可存储介质，2022.02，中国, ZL201810886690.3

[7] 储颖, 游为麟. 雾霾图像质量评价方法、系统、存储介质及电子设备，2021.04，中国，ZL201910436390.X

[6] 储颖．System and Method for Blind Image Quality Assessment（续案），2021.02，美国, US 10,909,409 B2

[5] 储颖．System and Method for Blind Image Quality Assessment，2019.06，美国, US 10,331,971 B2

[4] 储颖. 基于条件直方图码书的盲图像质量评价方法，2017.10，中国，ZL 2015 1 0111983.0

[3] 储颖，纪震. 数字图像配准方法及装置、数字减影图像矫正方法及设备，2016.8，中国，ZL 2013 1 0207401. X

[2] 储颖，牟轩沁，纪震. 部分参考型图像质量评价方法及装置，2016.03，中国，ZL201310223453.6

[1] 储颖, 纪震，华韵之．基于条件直方图形状一致性的无参考型图像质量评价方法，2016.01，中国, ZL201310320771.1

 

 

      获科研奖励：

 [1] 储颖，深圳市后备级人才，深圳市人事局，深圳市高层次专业人才，后备级，2010

 [2] 储颖，糜华，廖惠莲，纪震，吴青华，A fast bacterial swarming algorithm for high-dimensional function optimization，开yun体育官网入口登录苹果，学术创新奖，三等奖，2012

 

///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

                                 

                                                    Ying Chu

                                             

      Dr. Ying Chu is an Associate Professor and Gold Medal Teacher of School of Computer and Software Engineering, Shenzhen University. In 2015, she received her phD degree in Information and Communication Engineering from Xi 'an Jiaotong University. She is also a visiting scholar to University of Massachusetts Lowell, University of Liverpool, and University of Central Lancashire. Now she is mainly engaged in research work of image quality evaluation, image enhancement, etc.    

                        

l  Education

        

        2008.9-2015.6  Ph.D, Information & Communication Engineering, Xi’an Jiaotong Univ.

 

        2000.9-2003.6  M.Eng, Information & Communication Engineering, Xi’an Jiaotong Univ.

 

        1996.9-2000.7  B.Eng, Information Engineering, Xi’an Jiaotong Univ. 

 

l  Working Experience

        

        2011.1-present            Associate Professor

                                            College of Computer Science and Software Engineering, Shenzhen Univ.

 

        2023.12-2024.1            Visiting Scholar

        2016.8-2017.8              Dept. of  & Electrical & Computer Engineering, Univ. of Massachusetts Lowell, U.S.

 

        2009.1-2010.12           Lecturer

                                            College of Computer Science and Software Engineering, Shenzhen Univ.

 

        2008.1-2008. 2            Visiting Scholar

                                            Dept. of Electrical & Electronic Engineering, Univ. of Liverpool, U.K.

 

        2003.7-2008.12           Lecturer

                                            College of Information Engineering, Shenzhen Univ.

 

 

l  Teaching Courses

     

        Computer Game Development, Computer Game Design, Computer Ethics, Engineering Ethics, etc. 

 

l  Research Interests

     

        Image Quality Assessment, Image Enhancement, etc. 

 

l  Publications

 

28.    F. Chen, H. Fu, H. Yu and Y. Chu*, “Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality”. Sensors, vol. 23, no.10: pp. 4974, 2023.（JCR Q2）
27.    F. Chen, H. Fu, H. Yu and Y. Chu*, “No-Reference Image Quality Assessment based on a Multitask Image Restoration Network”. Applied Sciences,  vol. 13, no.11: pp. 6802, 2023.（JCR Q2）
26.    Y. Chu, F. Chen, H. Fu and H. Yu, “ Detection of Air Pollution in Urban Areas Using Monitoring Images”. Atmosphere, vol. 14, no.5: pp. 772, 2023.（JCR Q3）
25.    Y. Chu, F. Chen, H. Fu and H. Yu, “Haze level evaluation using dark and bright channel prior information”. Atmosphere, vol. 13, no.5: pp. 683, 2022.（JCR Q3）
24.    Y. Chu, G. Luo, F. Chen，“A real haze video database for haze level evaluation”. Proc. of the 13th International Conference on Quality of Multimedia Experience, pp.69-72, Montreal, Canada, 2021.6.13-6.17.
23.    Z. Huang，Y. Chu*, ”Design of Role-Customization System Plug-in Based on Unity3D”. Computer Systems & Applications, vol. 30, no.6: pp. 61-67, 2021.06. (in Chinese)（CCF T3 ）

22.      Y. Chu, X. Mou, H. Yu，“Blind image quality evaluation using the conditional histogram patterns of divisive normalization transform coefficients”. Proc. of SPIE Optical Engineering + Applications, 10396- 1-10, San Diego, USA, 2017.8.6-8.10 (EI)

21.      Y. Zhang，Y. Chu，H. Yu，“Reduction of metal artifacts in x-ray CT images using a convolutional neural network”. Proc. of SPIE Optical Engineering + Applications, 10391- 1-15, San Diego, USA, 2017.8.6-8.10 (EI)

20.      Y. Chu，Z. Chen, Y. Fu，H. Yu，“Haze image database and preliminary assessments”. Proc. of Fully 3D conference 2017: Xi’an, Shaanxi, China, 2017.6.19-6.23

19.      Y. Chu, X. Mou，H. Fu，Z. Ji，“Blind image quality assessment using statistical independence in the divisive normalization transform  domain”，Journal of Electronic Imaging，2015，24(6): 063008-1-20   (JCR Q3）

18.      Y. Chu, X. Mou，W. Hong，“A blind quality assessment method for images using shape consisitency feature”， Journal of Xi'an Jiaotong University，2014, 48(8):12-17.     (in Chinese)  (EI)

17.      Y. Chu，X. Mou，Z. Ji，“No training blind image quality assessment”，Proc. of 2014 IS&T/SPIE Symposium on Electronic Imaging，San Francisco, USA, 2014.2.2-.2.6 (EI)

16.      Y. Chu, X. Mou, W. Hong, Z. Ji. “A novel blind image quality assessment metric and its feature selection strategy”. Proc. of the 2013 IS&T/SPIE Symposium on Electronic Imaging. San Francisco, CA, USA: SPIE, 2013: 86600F1-8.  (EI)

15.      Y. Chu, X. Mou, W. Hong, Z. Ji. “A novel no-reference image quality assessment metric based on statistical independence”. Proc. of the 2012 IEEE Visual Communications and Image Processing. San Diego, CA, USA: IEEE, 2012: 1-6.  (EI)

14.      W. Hong, Y. Chu, X. Mou. “Model-guided iterative reconstruction for limited-angle CT image”. CT Theory and Applications, Dec. 2012, 21(4), pp. 597-604. (in Chinese)

13.  Y. Chu, H. Mi, Z. Ji, Q. H. Wu. “Fast bacterial swarming algorithm based on particle swarm optimization”. Journal of Data Acquisition & Processing, Jul. 2010, 25(4), pp.442-448. (in Chinese)

12.  Y. Chu, H. Mi, Z. Ji, Q. H. Wu. “Simultaneous algebraic reconstruction technique based on intelligent particle optimizer”. Journal of Shenzhen University Science & Engineering, Apr. 2009, 26(2), pp.111-115. (in Chinese)   (EI)

11.  Z. Ji, Y. W. Wang, Y. Chu, Q. H. Wu. “Bacterial particle swarm optimization”. Chinese Journal of Electronics, Apr. 2009, 18(2), pp. 195-199.   (SCI&EI)

10.  Y. Chu, H. Mi, Z. Ji. “Image registration based on weighted histogram for digital subtraction angiography”. Acta Electronica Sinica, Jul. 2008, 36(7), pp. 1344-1348. (in Chinese)  (EI)

9.  Y. Chu, H. Mi, Z. Ji ，Z. B. Shao, Q. H. Wu. “BFA based neural network for image compression”. Journal of Electronics (China), May. 2008, 25(3), pp. 405-408.

8.  Y. Chu, Z.B. Shao, H. Mi, Q. H. Wu. “An application of bacterial foraging algorithm in image compression”. Journal of Shenzhen University Science & Engineering, Apr. 2008, 25(2), pp. 153-157. (in Chinese) (EI)

7.  Y. Chu, C.L. Tang, Z. J, X.Q. Mou, S. P. Chen. “A gray-level image registration algorithm for DSA image based on subtraction histogram and gray value shift mesh”. Acta Electronica Sinica, Jan. 2006, 34(1), pp. 159-162. (in Chinese)(EI)

6.  Y. Chu, H. Mi, Z. Ji, Z. B. Shao, “Image compression using multilayer neural networks based on fast bacterial swarming algorithm”, Proc. of 2008 International Conference on Machine Learning and Cybernetics, IEEE Press, Kunming, pp.2890-2893, Jul. 2008. (EI)

5.  Y. Chu, H. Mi, Z. Ji, Q. H. Wu, “A fast bacterial swarming algorithm for high-dimensional function optimization”, Proc. of Conference on Evolutionary Computation 2008, IEEE Press, Hongkong, pp.285,Jun. 2008.  (EI)

4.  Y. Chu, Z. Ji, S.P. Chen, X.Q. Mou, “A novel gray-level registration algorithm for DSA image based on subtraction histogram”, Proc. of the 2006 IEEE Region 10 Conference, IEEE Press, Hong Kong, pp.155, Nov. 2006.(EI)

3.  Y. Chu, N. Bai , Z. Ji, S.P. Chen, X.Q. Mou, “Registration for DSA image using triangle grid and spatial transformation based on stretching”, Proc. of the 8th International Conference on Signal Processing, IEEE Press, China, pp.1173-1176, Nov. 2006.   (EI)

2.  Y. Chu, C.L. Tang, Z. Ji, X.Q. Mou. “A fast image registration technique in digital subtraction angiography with cross template”. Journal of Shenzhen University Science & Engineering, Oct. 2005, 22(4), pp. 324-329. (in Chinese)

1.  Y. Chu, C.L. Tang, Z. J, X.Q. Mou, Y.L Cai. “Application of a spatial transformation method based on stretching to digital subtraction angiography registration”. Journal of Shenzhen University Science & Engineering, Apr.2005, 22(2),pp.127-132.(in Chinese) 

 

l  Patents

 

9.      Y. Chu, W. You，No-reference image quality evaluation system and method，2022.03，P.R.China, ZL201810784867.9

8.      Y. Chu, W. You，Haze image sharpening method, system and storage medium，2022.02，P.R.China, ZL201810886690.3

7.      Y. Chu, W. You，Haze image quality evaluation method, system, storage medium and electronic equipment，2021.04，P.R.China，ZL201910436390.X

6.      Y. Chu，System and method for blind image quality assessment (Supplemental), 2021.02, U.S.A, US 10,909,409 B2

5.      Y. Chu，System and method for blind image quality assessment, 2019.06, U.S.A, US 10,331,971 B2

4.      Y. Chu，A blind image quality assessment method based on codebook of conditional histogram，2017.10，P.R.China，ZL201510111983.0

3.      Y. Chu，Z. Ji，Digital image registration method and device, digital image correction method and equipment，2016.8，P.R.China，ZL201310207401.X 

2.      Y. Chu，X. Mou，Z. Ji，The method and equipment for reduced reference image quality assessment，2016.3，P.R.China，ZL201310223453.6

1.      Y. Chu，Z. Ji，Y. Hua，No reference image quality assessment method based on shape consistency of conditional histograms，2016.1，P.R.China，ZL201310320771.1

 

l  Awards

       2022.5 Excellence Award, Associate Professor Group, Guangdong Branch of the Second National College Teachers' Teaching Innovation Competition
       2021.12 Gold Medal Teacher, College of Computer Science and Software Engineering, Shenzhen University
       2021.6 Second Prize, Higher Education Group, Shenzhen University Teaching Achievement Award
       2021.2 Computer Ethics, Guangdong Top Undergraduate Course
       2020.4 First Prize, Online Teaching Excellent Case, Undergraduate Group in Guangdong

 

l  Student Academic Competition Instructions

2023.9 First Prize, Guangdong College Student Computer Design Competition in 2023
2023.8 First Prize, National Final, the 16th China University Student Computer Design Competition
2023.8 Third Prize, National Final, the 11th Future Designer • National College Digital Art Design Competition
2023.8 First, Second & Third Prize, Guangdong Region, the 11th Future Designer • National College Digital Art Design Competition
2022.9 Third Prize, Guangdong College Student Computer Design Competition in 2022
2022.8 Gold, Silver & Best Popularity Awards, the 1st "Tencent Game • Peace Cup" College Developer Creation Competition 
2022.8 Third Prize, National Final, the 15th China University Student Computer Design Competition
2022.8 Third Prize, National Final, the 10th Future Designer • National College Digital Art Design Competition
2022.8 First & Second Prize, Guangdong Region, the 10th Future Designer • National College Digital Art Design Competition
2021.11 Silver Award, National Final, China University Students Engineering Practice and Innovation Ability Competition in 2021
2021.11 Second Prize, the 6th International College Student Game Production Competition
2021.9 Third Prize, Guangdong College Student Computer Design Competition in 2021
2021.8 Third Prize, Guangdong Region, the 9th Future Designer • National College Digital Art Design Competition
2021.6 First, Second & Third Prize, the Guangdong Branch of the National University Students' Engineering Training Comprehensive Ability Competition
2020.9 Third Prize, Guangdong College Student Computer Design Competition in 2020
2020.7 Third Prize, National Final, China University Computer Competition Wechat Mini-program Application Development Competition in 2020
2015.6 Second Prize, the 7th Guangdong University Students Digital Image Graphics Creation Competition
 

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