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How Digital Cameras Process Images

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Today we're talking about how digital cameras convert raw images into natural-looking pictures. It's natural to think that what we see on a display is what the camera actually sees right at the sensor. That's not really the case. Several steps of processing need to be done before it looks natural to us.
Video Highlights:
📌 Color Filter Array, Bayer Filter, Demosaicing
📌 White Balance, Gray World Algorithm, Color Correction Matrix
📌 Gamma Correction, Weber's Law
📌 Image Denoising
📌 Camera Pipeline
📌 Computational Photography
📌 Machine Learning
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📌 Computer Color is Broken - minutephysics
• Computer Color is Broken
📌 Lectures on Digital Photography - Marc Levoy
• Lectures on Digital Ph...
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Recommended Papers:
📌 Burst photography for high dynamic range and low-light imaging on mobile cameras
www.hdrplusdata...
📌 Deep Bilateral Learning for Real-Time Image Enhancement
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📌 Learning to See in the Dark
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📌 FlexISP: A Flexible Camera Image Processing Framework
research.nvidia...
📌 Deep Joint Demosaicking and Denoising
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📌 DeepISP: Learning End-to-End Image Processing Pipeline
arxiv.org/pdf/...
#digitalcamera #camera #imageprocessing #color #filter

Опубликовано:

29 авг 2024

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Комментарии : 49

@ojaspatil2094 2 дня назад

rarely do I stop taking notes simultaneously and actually view the video because of interesting it is. very well done, thank you!

@ericpalma0711 5 лет назад

It's the first time that i really wanted to leave a comment on a youtube video. Man, you rock! I'm a professional colorist and a love your approach. Keep with your videos. Thank you for the knowledge.

@leoisikdogan 5 лет назад

Thanks! I appreciate it.

@lincolnfrancisco2038 3 года назад

i guess im asking randomly but does someone know a method to log back into an instagram account..? I stupidly forgot my account password. I would appreciate any tips you can give me

@karsontristian6872 3 года назад

@Lincoln Francisco Instablaster ;)

@valeriubarbut7363 6 лет назад

This video is so great!!! It is so great to have someone that explains the whole process of imaging in so much detail and so correctly!! Good job!! Keep up to good work!!

@leoisikdogan 6 лет назад

Valeriu Barbut Thanks for your feedback!

@brodyghost2879 5 лет назад

Ahhh this is a great video. The way you leave the scene when you have to move for the car make it feel more nature than cut it out. Content is amazing and well expainded. You deserve more love. Thanks for the vids

@Monzrrr Год назад

FOR YEEEEAARS I have been trying to find a detailed explanation of image processing as a photographer and software student. Finally i found your amazing video on google thanks to the transcribe on your website! Great stuff

@leoisikdogan Год назад

Glad you found the video helpful! Thank you for the kind words!

@Ksensei41 8 месяцев назад

I like that you put names of all the processes involved, so one can easily know, where to look further.

@pfavayi 5 лет назад

In a phone ,Which part of the image processing you just described above is done by 1. Camera module manufacturer (vendor) 2. OEM (firmware) 3. OS level processing 4. Camera application.

@pashubhatt 2 года назад

Hello Leo. Hope you're well. Big relief to understand such complex topics with such an ease. You surely have a simple way to explain things. And your beautiful smile with casual demeanor works like an icing on the cake. Very pleasant. Warm wishes for your work ahead.

@awaisbashirvlogs 2 года назад

Very easy to understand. THANKS

@andyhu1742 5 лет назад

Wow, amazing video! Thank you! The references are awesome, too!

@leoisikdogan 5 лет назад

Thanks, happy to hear that!

@nagarajuvaidya6977 2 года назад

Simple, but too sweet. Enjoyed it very much. Thanks buddy.

@CodeEmporium 5 лет назад

Nice video. Thanks for linking the papers too!

@leoisikdogan 5 лет назад

Thanks for your feedback!

@fernandorojas6486 3 года назад

Man your videos are so well explained, I wish there were videos like yours for anything I need to learn

@axolotl5327 3 года назад

Very helpful. If you're looking to expand on this, if be interested in a description of where and how the ISO setting plays a role in the pipeline.

@tayyabnouman8240 Год назад

thanks, very well presented

@junwuluo1231 3 года назад

It is worthy to watch twice

@SuperOnlyP 2 года назад

- That is why the camera for raspberry pi and jetson nano is so noisy compared to the phone camera despite that they are labeled the same resolution. And why software like ffmpeg is applied - If you can , please do some image processing from raw input into photo device via ffmpeg. It could make more sense. Thanks!

@WK_Note 2 года назад

What a great teaching video! Please keep up the good work!

@fadwashukry6611 3 года назад

انا إستفدت جدا، شكرا جزيلا

@sibendupaul6250 3 года назад

Great explanation

@surendrakumarsahu7914 3 года назад

Very well explained. Thank you very much for enlightening. I shall look for your other videos.

@dontaskme1625 4 года назад

Awesome, concise explaination, thanks

@andcamacho 3 года назад

Thank you!!

@sungjinchun1094 4 года назад

Thank you!! Well described!

@iamsiddhantsahu 5 лет назад

This is great explanation, loved it!

@0xDevelopers 4 года назад

Succinct explanation! Thank you, subscribed!

@Mudly71 2 года назад

Great video, is there any point to doing another or would this still stand. It seems to me the only tutorial on this topic. Thank you for your time.🤗

@leoisikdogan Год назад

Thanks! I think the basics are still the same although some newer cameras use more advanced additional blocks now.

@saifus7025 4 года назад

Hey, thanks for this awesome knowledge bro 🤙

@divyamishra1089 3 года назад

Sir, I really appreciate the quality of content in your videos in less time. I would like to about what metrics I should use when work in Super-resolution of images using GAN. Since, SRGAN already proved that PSNR, SSIM are not that much good to evaluate image quality In case of Super-resolution. So, in that case if you know any other metric that would work . Thanks in advance 😀😀

@bretth4988 2 года назад

I found a video that I can't find. I'm hoping you could clear this up. There are pics on the net where a person turns their head quickly facing a mirror and you get 2 different pics. So you stare at the mirror turn yr head quick and you have yr face in the mirror plus you are looking away not at the mirror. So in the 1 photo you get 2 different images. I learned from someone that camera's SCAN left to right or right to left. That's why in some pics you may miss a leg. Do you have any information about this?

@user-or7ji5hv8y 5 лет назад

Fascinating!

@OranCollins 4 года назад

really enjoyed the inclusion of your research materials. i really like the rabit whole it sent me down. great vids. thanks.

@hannahm9259 4 года назад

Good job

@bogdanRandom 6 лет назад

awesome content

@leoisikdogan 6 лет назад

Thanks!

@shanmugavelayutham1394 Год назад

Nice

@hariharanramamurthy9946 4 года назад

Pixel binning?

@jose14187 4 года назад

In these days that I have wanted, to renew my old camera, analyzing the subject, the mobiles, the diversity of cameras and brands is to drink Crazy. I respect the work of many people behind technology. However I see it too costly for the average Latin American citizen. The plastic materials used are very cheap, the cameras are very FACE. Companies think of the middle class upwards, will we continue to use mobiles ??? Yes for now. Att Jose Pascual