• NYCU
  • OIS Lab

Optical Information System Lab

Publications

Journals

  1. Chieh-En Lee, Jia-Ling Tu, Pei-Chia Tsai, Yu-Chieh Ko, Shih-Jen Chen, Ying-Shan Chen, Chu-Ming Cheng, and Chung-Hao Tien, “End-to-end algorithm for the automatic detection of the neural canal opening in OCT images based on a multi-task deep learning model,” Optics Continuum, Vol. 2, No. 9, 2055-2068 (2023).
  2. Ming-Hsuan Wu, Ya-Ti Chang Lee, and Chung-Hao Tien, “Lensless facial recognition with encrypted optics and a neural network computation,” Applied Optics, Vol. 61, No. 26, 7595-7601 (2022).
  3. Ya-Ti Chang Lee*, Yi-Chun Fang, Chung-Hao Tien, “Deep neural network for coded mask cryptographical imaging,” Applied Optics (60), 1686-1693 (2021).
  4. Jian-Jia Su* and Chung-Hao Tien,” Improved Error Reduction and Hybrid Input Output Algorithms for Phase Retrieval by including a Sparse Dictionary Learning-Based Inpainting Method,” International Journal of Optics, Volume 2020, 3481830 (2020).
  5. Hsiu-Wen Cheng, Tsung-Lin Chen and Chung-Hao Tien*, “Learning-based risk assessment and motion estimation by vision for unmanned aerial vehicle landing in an unvisited area,” J. of Electronic Imaging, 28(6), 063011 (2019).
  6. Hsiu-Wen Cheng, Tsung-Lin Chen and Chung-Hao Tien*, “Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area,” Sensors, 19(6), 1380 (2019).
  7. Jian-Jia Sua, Chung-Hao Tien, Yu-Lin Tsai, Chin-Tien Wu*, “A skew freeform reflector design method for prescribed off-axis irradiance,” Results in Physics, Volume 13, 102193 (2019).
  8. Jie-En Li and Chung-Hao Tien*, "Fundus photography with subpixel registration of correlated laser speckle images," Jpn. J. Appl. Phys., 57, 09SB01 (2018).
  9. Sheng-Hsun Hsieh, Yung-Hui Li , Wei Wang, Chung-Hao Tien*, “A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis.” Sensors, Vol. 18, No. 3, 795(2018).
  10. Jie-En Li* and Chung-Hao Tien, "The study of pixelated sampling and its influences on the 2nd-order spatial coherence measurement," Opt. Commun. 423, 86 (2018).
  11. Sheng-Hsun Hsieh, Yung-Hui Li *, Chung-Hao Tien, “Test of the Practicality and Feasibility of EDoF-Empowered Image Sensors for Long-Range Biometrics,” Sensors, accepted (2016).
  12. Sheng-Hsun Hsieh, Yung-Hui Li, Chung-Hao Tien, and Chin-Chen Chang, “Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution,” IEEE Transaction on Cybernetics, VOL. 46, NO. 12, 3342-3350 (2016).
  13. Yu-Lin Tsai and Chung-Hao Tien, “Approach to analytically minimize the LCD moiré by image-based particle swarm optimization,” Applied Optics , Vol. 54, No. 28 E41-E46 (2015)
  14. Pi-Ju Cheng, Chung-Hao Tien, and Shu-Wei Chang*, “Incomplete immunity to backscattering in chiral one-way photonic crystals,” Optics Express, Vol. 23, Issue 8, pp. 10327-10340 (2015).

International Conference Papers

  1. Ya-Ti Chang Lee, and Chung-Hao Tien, “Computational lensless imaging via perceptual loss and end-to-end training,” Optics & Photonics Taiwan, International Conference, Chongli, Taiwan (2022).
  2. Yi-Hung Li, Ya-Ti Chang Lee, and Chung-Hao Tien, “Industrial defect detection using generative adversarial neural network and semi-supervised learning,” Optics & Photonics Taiwan, International Conference, Chongli, Taiwan (2022).
  3. Yao-Lun Ku, Ya-Ti Chang Lee, and Chung-Hao Tien, “Alignment of diffractive optical elements by deep learning,” Optics & Photonics Taiwan, International Conference, Chongli, Taiwan (2022).
  4. Tzu-Yuan Huang, Chih-Chieh Yang, Chieh-En Lee, and Chung-Hao Tien, “Real-time fall detection via deep learning with attention transfer on embedded system,” Optics & Photonics Taiwan, International Conference, Chongli, Taiwan (2022).
  5. Pei-Chia Tsai, Chieh-En Lee, Jia-Ling Tu, and Chung-Hao Tien, “Deep learning for automatic neural canal opening detection with differentiable spatial to numerical transform,” Optics & Photonics Taiwan, International Conference, Chongli, Taiwan (2022).
  6. Chih-Chieh Yang, Chieh-En Lee, Tzu-Yuan Huang, and Chung-Hao Tien, “Real-time fall detection for embedded system using deep learning,” International Symposium on Imaging, Sensing, and Optical Memory, Sapporo, Japan (2022).
  7. Jia-Ling Tu, Chieh-En Lee, and Chung-Hao Tien, “Deep learning for automatic detection of neural canal opening in optical coherence tomography images,” International Symposium on Imaging, Sensing, and Optical Memory, Sapporo, Japan (2022).
  8. Jia-Ling Tu, Chieh-En Lee, and Chung-Hao Tien, “Using deep learning for automated detection of neural canal opening in OCT images,” Optics & Photonics Taiwan, International Conference, Taichung, Kaohsiung (2021).
  9. Yu-Chen Chou, Chieh-En Lee, Po-Yuan Hsieh, and Chung-Hao Tien, “Automatic optical inspection of pixel illuminance for displays at oblique perspectives,” Optics & Photonics Taiwan, International Conference, Taichung, Kaohsiung (2021).
  10. Ming-Hsuan Wu, Ya-Ti Chang Lee, Chung-Hao Tien, “Scattering-type lensfree encryption system for face recognition,” Optics & Photonics Taiwan, International Conference, Taichung, Kaohsiung (2021).
  11. Chong-Wei Kao, Chieh-En Lee, Jin-Shing Tseng, Chu-Ming Cheng, and Chung-Hao Tien, “Automatic retinal layer segmentation in OCT images based on deep learning,” Optics & Photonics Taiwan, International Conference, Taichung, Taipei (2020).
  12. Yu-Heng Chu, Chieh-En Lee, Yu-Yi Chien, Jian-Jia Su, and Chung-Hao Tien, “Automatic logo detection and segmentation in OLED/micro-LED display based on deep learning,” Optics & Photonics Taiwan, International Conference, Taichung, Taipei (2020).
  13. Yi-Chun Fang, Ya-Ti Chang Lee, and Chung-Hao Tien, “Face recognition with a lensfree encrypted system,” Optics & Photonics Taiwan, International Conference, Taichung, Taipei (2020).
  14. Shao-Yu Liu, Ya-Ti Chang Lee, and Chung-Hao Tien, “Automatic fabric defect detection by compact CNN-based machine vision,” Optics & Photonics Taiwan, International Conference, Taichung, Taipei (2020).
  15. Chung-Hao Tien, “Deep learning for computational optics,” Optics & Photonics Taiwan, International Conference, Taichung, Taipei (2020).
  16. Chia-Chi Yang, Jian-Jia Su, Chieh-En Lee, Zhi-Yu Zhu, Jin-Shing Tseng, Chu-Ming Cheng, and Chung-Hao Tien, “Using deep learning for vision screening via infrared eccentric photorefraction,” Optics & Photonics Taiwan, International Conference, Taichung, Taiwan (2019).
  17. Chih-Yu Chu, Chieh-En Lee, Po-Yuan Hsieh, Jian-Jia Su, and Chung-Hao Tien, “Automatic machine vision for Mura detection in organic light-emitting diode display,” Optics & Photonics Taiwan, International Conference, Taichung, Taiwan (2019).
  18. Yun-Zhen Yao, Jian-Jia Su, Chieh-En Lee, Chih-Yu Chu, and Chung-Hao Tien, “Novel phase retrieval scheme through deep neural network,” Optics & Photonics Taiwan, International Conference, Taichung, Taiwan (2019).
  19. Guan-Yu Lin, Ya-Ti Chang Lee, Xuan-En Hong, and Chung-Hao Tien, “Lensless coded aperture system with thin film transistor sensor,” Optics & Photonics Taiwan, International Conference, Taichung, Taiwan (2019).
  20. Yi-Cheng Lin, Xuan-En Hong, Ya-Ti Chang Lee, and Chung-Hao Tien, “Study of three dimensionally surface representation by B-spline interpolation,” Optics & Photonics Taiwan, International Conference, Taichung, Taiwan (2019).
  21. Hong, Xuan-En, et al. “Computational Ghost Image via Controlling Pseudothermal Light Source,” 24th Microoptics Conference, Japan (2019).
  22. Chia-Chi Yang, Jian-Jia Su, Chieh-En Lee, Chih-Yu Chu, Jin-Shing Tseng, Chu-Ming Cheng, and Chung-Hao Tien, "Accessing refractive errors via eccentric infrared photorefraction based on deep learning," SPIE Future Sensing Technologies, Tokyo, Japan (2019).
  23. Chih-Yu Chu, Chieh-En Lee, Po-Yuan Hsieh, Jian-Jia Su, and Chung-Hao Tien, "Automatic organic light-emitting diode display mura detection model based on human visual perception and multi-resolution," SPIE Future Sensing Technologies, Tokyo, Japan (2019).
  24. Yun-Zhen Yao, Jian-Jia Su, Chieh-En Lee, Chih-Yu Chu, and Chung-Hao Tien, "Recovery of phase modulation via residual neural network," SPIE Future Sensing Technologies, Tokyo, Japan (2019).
  25. Jie-En Li et al., “Measurement of 2nd-order phenomenon with spatial light modulator,” SPIE Optical Systems Design, Germany (2018).
  26. Jie-En Li et al., “Long working distance fundus photography with correlated laser speckle, International Symposium on Imaging, Sensing, and Optical Memory Japan (2017).
  27. Hao-Ping Ku et al., “Measurement of wavefield correlation with spatial light modulator,” International Symposium on Imaging, Sensing, and Optical Memory Japan (2017).
  28. Jian-Jia Su, “Skew Freeform Reflectors for Two-Dimensional Illuminance,” 2017 Frontiers in Optics (FiO)/Laser Science: The Optical Society of America (OSA) Annual meeting, Denver, USA (2017).
  29. Meng-Chieh Lin, Wan-Hsueh Lai, Chung-Hao Tien, “Characterization of Retinal Blood Vessel by Laser Speckle Correlation Time Constant,” SPIE Optics and Photonics, San Diego, USA (2016).
  30. Jie-En Li, Jhih-Syuan Fu, Ming-Shu Hsiao, and Chung-Hao Tien, “Experimental method of optical coherence characterization in phase-space measurement,” 2015 SPIE Optical Systems Design, Jena, Germany (2015).
  31. Chung-Hao Tien, “EDoF System for Long Distance Iris Acquisition,” Workshop of Information Optics, Kyoto, Japan (2015).
  32. Yung-Hui Li, Bo-Ren Zheng, Dai-Yan Ji and Chung-Hao Tien, "Heterogeneous Iris image hallucination using sparse representation on a learned heterogeneous patch dictionary" SPIE Optics & Photonics, San Diego, USA (2014).
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