rarely do I stop taking notes simultaneously and actually view the video because of interesting it is. very well done, thank you!
@ericpalma07115 жыл бұрын
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.
@leoisikdogan5 жыл бұрын
Thanks! I appreciate it.
@lincolnfrancisco20383 жыл бұрын
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
@karsontristian68723 жыл бұрын
@Lincoln Francisco Instablaster ;)
@Ksensei4110 ай бұрын
I like that you put names of all the processes involved, so one can easily know, where to look further.
@brodyghost28795 жыл бұрын
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
@valeriubarbut73636 жыл бұрын
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!!
@leoisikdogan6 жыл бұрын
Valeriu Barbut Thanks for your feedback!
@Monzrrr Жыл бұрын
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 Жыл бұрын
Glad you found the video helpful! Thank you for the kind words!
@nagarajuvaidya69772 жыл бұрын
Simple, but too sweet. Enjoyed it very much. Thanks buddy.
@pashubhatt2 жыл бұрын
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.
@fernandorojas64863 жыл бұрын
Man your videos are so well explained, I wish there were videos like yours for anything I need to learn
@CodeEmporium6 жыл бұрын
Nice video. Thanks for linking the papers too!
@leoisikdogan6 жыл бұрын
Thanks for your feedback!
@pfavayi5 жыл бұрын
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.
@andyhu17425 жыл бұрын
Wow, amazing video! Thank you! The references are awesome, too!
@leoisikdogan5 жыл бұрын
Thanks, happy to hear that!
@surendrakumarsahu79143 жыл бұрын
Very well explained. Thank you very much for enlightening. I shall look for your other videos.
@awaisbashirvlogs2 жыл бұрын
Very easy to understand. THANKS
@WK_Note2 жыл бұрын
What a great teaching video! Please keep up the good work!
@axolotl53274 жыл бұрын
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.
@dontaskme16254 жыл бұрын
Awesome, concise explaination, thanks
@junwuluo12313 жыл бұрын
It is worthy to watch twice
@sungjinchun10944 жыл бұрын
Thank you!! Well described!
@fadwashukry66113 жыл бұрын
انا إستفدت جدا، شكرا جزيلا
@tayyabnouman82402 жыл бұрын
thanks, very well presented
@saifus70254 жыл бұрын
Hey, thanks for this awesome knowledge bro 🤙
@iamsiddhantsahu5 жыл бұрын
This is great explanation, loved it!
@bretth49882 жыл бұрын
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?
@sibendupaul62503 жыл бұрын
Great explanation
@SuperOnlyP3 жыл бұрын
- 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!
@0xDevelopers5 жыл бұрын
Succinct explanation! Thank you, subscribed!
@divyamishra10893 жыл бұрын
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 😀😀
@OranCollins4 жыл бұрын
really enjoyed the inclusion of your research materials. i really like the rabit whole it sent me down. great vids. thanks.
@andcamacho3 жыл бұрын
Thank you!!
@Mudly712 жыл бұрын
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.🤗
@leoisikdogan2 жыл бұрын
Thanks! I think the basics are still the same although some newer cameras use more advanced additional blocks now.
@user-or7ji5hv8y5 жыл бұрын
Fascinating!
@hannahm92594 жыл бұрын
Good job
@bogdanRandom6 жыл бұрын
awesome content
@leoisikdogan6 жыл бұрын
Thanks!
@jose141874 жыл бұрын
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
@hariharanramamurthy99464 жыл бұрын
Pixel binning?
@shanmugavelayutham1394 Жыл бұрын
Nice
@Johnassu3 жыл бұрын
ahahahahhahah its so great omg every CS students should watch this