Brain lecture
Explaining contrast stretching in the brain
 December 31, 2021  Dr. Zdenek Moravcik
 
 

In this brain lecture I explain what is contrast stretching in the brain and why it is important for human brain.

Contrast stretching is an algorithmic process that is raising contrast in the perceived image on expense of correct perception of color and brightness values. As a consequence of this process we perceive many colors and brightness values as false compared to the actual values that are entering our brain.

Four famous optical “illusions” are presented in this lecture to demonstrate this process: chessboard illusion, gradient illusion, red strawberries illusion and face with colored iris illusion.

Lecture also explains that terms “color constancy” and “simultaneous contrast” known from neurosciences are nonsensical because all the brain is doing here is adjusting contrast.

-------- Contents of this brain lecture --------

00:00 - Start of the video with this lecture website URL's in QR-codes

00:07 - Donate cryptocurrency to support my lectures & videos

00:15 - Start of the lecture (introduction to contrast stretching in the brain)

01:02 - Theory about contrast

04:29 - Optical illusion #1: Chessboard squares of same brightness

10:45 - Optical illusion #2: Center stripe with false grayscale gradient

14:02 - Optical illusion #3: Red strawberries that are not red

20:20 - Optical illusion #4: Face with falsely perceived colored iris

23:35 - Conclusions learned from this lecture

25:02 – Explanation why term “Color constancy” is wrong

26:30 – Explanation why term “Simultaneous contrast” is wrong

27:07 - Acknowledgments

27:38 - Last question

27:54 - Brain algorithms (trailer)

28:04 - Copyright & author's website URL in QR-code

28:08 - Author's recommended videos (feature available only on YouTube)

 
 
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Keywords: brain algorithms, stretching contrast, color contrast, RGB color wheel, pixel image, contrast adjustment, robot, brain simulation, robot, computer, computing system, computing machine
 
 
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