Computational Imaging Course
Computational Imaging is the next-generation imaging technology that fuses optics, imagesensors, algorithms, and software. It breaks through traditional imaging technology's information in terms of both depth (HDR, low-illumination) and width (Spectrum, Light field, 3 Dimension). Computational Imaging is an enhancement and extension over traditional digital imaging.This course takes computational imaging's foundation, as well as its application tools and scenarios, as its focus. By working through the field's early background, advanced algorithms and advanced topics, as well as industry applications, this course provides a complete analysis of current advanced computational imaging. The course covers the vision system, camera system, ISP, HDR, noise, optical imaging, spectrum imaging, 3D imaging, polarized imaging, and end-to-end joint design of optics and algorithms.
Doctor, Assistant Professor at Chinese University of HongKong, ShenZhen, Founder of Point Spread Technology
Prof. Qilin Sun obtained his Bachelor's degree at HuaZhong University of Science and Technology,and his Doctoate from King Abdullah University of Science and Technology in 2021. His research interest lie in the end to end computational imaging camera design, computational imaging, optics, SPAD array imaging, physics-based rendering with simulation and optimization. He has published multiple articles as first-author in several top-tier computer graphics journals and conferences including ACM TOG, SIGGRAPH, Siggraph Asia, and CVPR (oral).
His startup company Point Spread Technology is dedicated to building the next-generation of computational optics platforms. The company has mass produced RGBD camera that focus on real-time 3D reconstruction, all while retaining high-speed and precision. This camera features heterogeneous pipeline image processing architecture with ultra low-power and sub-millisecond data latency. Contact email@example.com.
Yifan (Evan) Peng
Doctor, Assistant Professor of Hong Kong University
Dr. Peng is currently performing post-doc research at Stanford University. He obtained his Doctorate in computer science from UBC in 2018 and a Master's degree in optoelectronic science andengineering from Zhejiang University in 2013. He also obtained two Bachelor's degrees in photoelectric information engineering and business management from Zhejiang University in 2010. His research interet lies in the collaborative design of hardware and software in the field of imaging, microscopic, display, and VR/AR/MR. He has published several papers in top-tier journals and conferecnes in computer graphics, computer vision, and optics such as SIGGRAPH, Optica, CVPR, TCVG, and Science Advances. He has served as the program chair, session chair, and reviwer under the IEEE, SID, SPIE, and OSA.
Dr. Peng also maintain an online channel all about computational optics called IntelligentOptics.
Starting from July 1st, 2022, at 20:00-21:00 of every Friday.
Assignment materials distribution, homework submission, and grading are only carried out on this course management website, and are no longer directly open to the public.
Search gameswebinar to join in, send "204" to the GAMES204 course group. Note: The speed of entering the group may be slow, you can wait for a few minutes.
Optional (Recomended): Convex Optimization, Applied Optics, Deep Learning, Signals and Systems, Fourier Optics, Stochastic Processes
#00 is the link of courseware
#01~ 24 are course videos
Download (25 items)
* Guest Lecture 01 courseware is currently unavailable
Introduction to Computational Imaging
Color, Human Vision System, and Display Ⅰ
Color, Human Vision System, and Display Ⅱ
Image Signal Processing
High Dynamic Range Imaging and Tonemapping
Display Technology for AR/AR introductory-Evan Pong(HKU)
#Guest Lecture 01
Wavefront Sensing and Oz Vision - Congli Wang (UC Berkery)
Imaging Toolkit – Lens&Abberations
Imaging Toolkit：Wavefront Analysis and Other Optics
Image Noise Formation
Computing Toolbox：Image Gradient and Processing Ⅰ
Computing Toolbox：Image Gradient and Processing Ⅱ
Computing Toolbox：Image Blurry
Image Deconvolution with the Half Quadratic Splitting (HQS) Method
Computing Toolbox:The Alternating Direction Method of Multipliers(ADMM) and Applications
Computational Illumination Ⅰ
#Guest Lecture 02
Computation Light Field and Holographic Displays
Computational Illumination Ⅱ
Temporal Encoding：Time-of-Flight Imaging
Temporal Encoding II - Non-line-of-sight Imaging
Temporal Encoding III - Indirect Time of Flight Imaging
Temporal Encoding IV - Indirect Time of Flight Imaging II
Temporal Encoding V - Time Encoded Photography
Spatial Encoding - Coded Photography
End-to-end Computational Camera Design
Computational Optics Platform
BM3D Denoising IP Core
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