How Digital Cameras Process Images

[@ojaspatil2094]

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

[@ericpalma0711]

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]

Thanks! I appreciate it.

[@lincolnfrancisco2038]

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]

@Lincoln Francisco Instablaster ;)

[@Ksensei41]

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

[@brodyghost2879]

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

[@valeriubarbut7363]

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]

Valeriu Barbut Thanks for your feedback!

[@Monzrrr]

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]

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

[@nagarajuvaidya6977]

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

[@pashubhatt]

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.

[@fernandorojas6486]

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

[@CodeEmporium]

Nice video. Thanks for linking the papers too!

[@leoisikdogan]

Thanks for your feedback!

[@pfavayi]

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.

[@andyhu1742]

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

[@leoisikdogan]

Thanks, happy to hear that!

[@surendrakumarsahu7914]

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

[@awaisbashirvlogs]

Very easy to understand. THANKS

[@WK_Note]

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

[@axolotl5327]

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.

[@dontaskme1625]

Awesome, concise explaination, thanks

[@junwuluo1231]

It is worthy to watch twice

[@sungjinchun1094]

Thank you!! Well described!

[@fadwashukry6611]

انا إستفدت جدا، شكرا جزيلا

[@tayyabnouman8240]

thanks, very well presented

[@saifus7025]

Hey, thanks for this awesome knowledge bro 🤙

[@iamsiddhantsahu]

This is great explanation, loved it!

[@bretth4988]

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?

[@sibendupaul6250]

Great explanation

[@SuperOnlyP]

- 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!

[@0xDevelopers]

Succinct explanation! Thank you, subscribed!

[@divyamishra1089]

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 😀😀

[@OranCollins]

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

[@andcamacho]

Thank you!!

[@Mudly71]

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]

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

[@user-or7ji5hv8y]

Fascinating!

[@hannahm9259]

Good job

[@bogdanRandom]

awesome content

[@leoisikdogan]

Thanks!

[@jose14187]

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

[@hariharanramamurthy9946]

Pixel binning?

[@shanmugavelayutham1394]

Nice

[@Johnassu]

ahahahahhahah its so great omg every CS students should watch this

[@harleychesney7453]

I was the 333rd like. Just thought I would share.

[@zetonggu6164]

First comment ～