Главная
Study mode:
on
1
Intro
2
Traditional Cameras
3
What is good optics
4
SLR lens design
5
Plano convex lens
6
Point spread functions
7
Deconvolution
8
Crosschannel prior
9
Geometric distortions
10
Chromatic aberration
11
Audio issue
12
Optical artifact
13
Computational imaging systems
14
Diffractive optics
15
Single wavelengths
16
Achromatic optical elements
17
Encoding diffractive optics
18
Endtoend design
19
Formal optimization
20
Reconstruction
21
Simulation
22
Comparison
23
Neural Network Based Reconstruction
24
Pixel Super Resolution
25
High Dynamic Range Imaging
26
Beyond
27
Differentiable ray tracing
28
Comparisons
29
Reconstruction Results
30
Discussion
31
Evaluation
32
Future of computational cameras
33
Thank you
34
Questions
35
Solutions
Description:
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.

Computational Imaging Systems and Optical Design - Webinar

IEEE Signal Processing Society
Add to list
0:00 / 0:00