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1
Intro
2
Eugen Hristev
3
Agenda
4
System diagram
5
Capture the light
6
BAYER array
7
BAYER interpolation
8
The edge problem
9
Inside the system
10
Light has a temperature
11
Temperature and color
12
What the human brain can see
13
What the human eye sees
14
Question 1
15
Grey world
16
Algorithm inside the driver
17
Gains and offsets
18
Do white balance button
19
Auto white balance (AWB)
20
Again, trade-off
21
Brightness vs exposure
22
How can we adjust colors
23
Brightness and Contrast
24
Summary
25
Resources and Availability
Description:
Explore the complexities of video sensor image capture and processing using V4L2 in this 46-minute Linux Foundation talk. Delve into system diagrams, BAYER arrays, interpolation techniques, and edge problem solutions. Understand light temperature, color perception, and the intricacies of human vision. Learn about grey world algorithms, white balance techniques, and the trade-offs between brightness and exposure. Gain insights into adjusting colors, brightness, and contrast in video processing. Conclude with a summary of key concepts and access to additional resources for further learning.

Challenges of Using V4L2 to Capture and Process Video Sensor Images

Linux Foundation
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