Computational Imaging Systems and Optical Design - Webinar

Explore the future of computational imaging in this webinar featuring Prof. Wolfgang Heidrich from KAUST. Delve into the evolution of camera technology, from traditional optics to cutting-edge computational systems. Learn about the challenges in lens design, including point spread functions, deconvolution, and various optical artifacts. Discover how diffractive optics and end-to-end design are revolutionizing imaging systems. Examine the role of neural networks in image reconstruction and pixel super-resolution. Investigate high dynamic range imaging techniques and differentiable ray tracing. Evaluate the current state of computational cameras and discuss their potential future developments. Engage in a Q&A session to further understand the implications of these advancements in signal processing and imaging technology.

Intro
Traditional Cameras
What is good optics
SLR lens design
Plano convex lens
Point spread functions
Deconvolution
Crosschannel prior
Geometric distortions
Chromatic aberration
Audio issue
Optical artifact
Computational imaging systems
Diffractive optics
Single wavelengths
Achromatic optical elements
Encoding diffractive optics
Endtoend design
Formal optimization
Reconstruction
Simulation
Comparison
Neural Network Based Reconstruction
Pixel Super Resolution
High Dynamic Range Imaging
Beyond
Differentiable ray tracing
Comparisons
Reconstruction Results
Discussion
Evaluation
Future of computational cameras
Thank you
Questions
Solutions