Challenges of Using V4L2 to Capture and Process Video Sensor Images
Offered By: Linux Foundation via YouTube
Course Description
Overview
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.
Syllabus
Intro
Eugen Hristev
Agenda
System diagram
Capture the light
BAYER array
BAYER interpolation
The edge problem
Inside the system
Light has a temperature
Temperature and color
What the human brain can see
What the human eye sees
Question 1
Grey world
Algorithm inside the driver
Gains and offsets
Do white balance button
Auto white balance (AWB)
Again, trade-off
Brightness vs exposure
How can we adjust colors
Brightness and Contrast
Summary
Resources and Availability
Taught by
Linux Foundation
Tags
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