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What a Great Man! YOU DID AMAZING

Tomorrow is my exam and this was what i needed and it helps alot thanks man

thanks brother tomorrow is my exam and I just forgot the topic it really helped

bro you made great mistakes here, you even did not select the origin of mask and the origin of image. Who says that i should start making convolution from the point where mask is within the image? Place the down right cell of the mask in the top left cell of the image and start calculating convolution. This would give you a 3+6 -1 = 8x8 output image. You are absolutely mistaken

this looks easy: those who know the real one💀

2024 and you are saving me sir! Thank you very much

It helps more than you imagine. Thanks man:)

This one was good

what if instead of h(n-k,m-l)*x(k,l) , using x(n-k,m-l)*h(k,l)

Thanks a lot bro

Bro, you are a savior. Thank you sooooo much. i didn't understand when i tried it fomr many websites and yt videos, yours just went straightly into the brain.. Thank you

Thank you bro

Thank you

thank chu

Precise and understandable, Good job!!

terrible camerawork but solid explanation xD thanks bro!

can you not talk like a gangbanger

You save me in my midterm exam, thanks a lot!

just found out about your video. simply explained, no noise. thank you for that.

Hi, So what? Should we normalise the calculated values? What colour does 514 refers to?

i love this video very good

hi

i love you please have my children

hi

hi

😍

Bro, I'm having this for an exam tomorrow, and you just saved me from an M x N headache

I saw in many documents they say the multiplication between the kernel and each patch of the image matrix is a dot product. Can you explain it?

Great explanation

i think its correlation but thank you a lot. you helped me understand

I love you man

it helps man

great video man

Nice video This is a course on Image Processing - Frequency domain filters th-cam.com/video/gjvwgWJqzko/w-d-xo.html

What is the purpose of the number we are putting inside the box

This video is means alot to me. Thank you! Please make more videos on DIP

Useful . Do some more videos

Thank you for giving such a simple example and explanation

What if it's RGB?

I think this is cross correlation

Thank you! Very good tutorial.

Thanks man! Really helpful.

life saver!

Very useful, thanks so much

You saved me from reading big book of convolution theory. Respect bro.

yeaah bro that helped

Thank you for the simple explanation of the convolution process. You did like it is a simple adding number to each other ... That is grat, Sir. Thank you so much agine

IT DID HELP MAAAN

Great

I'm working on an example similar to this, when using the kernal on the image matrix I got an output of -2 (some of the values in the kernal were negative), I'm not sure if you can get a negative value for the output but what would that mean for the image matrix if, when convoluted, a pixel becomes a negative value?