95 - What is digital image filtering and image convolution?

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Very impressive. I only considered the clipping problem when dealing with 8_bit images, but never thought about the fractional case. I didn’t understand why some commands require floating data format. This tutorial pointed it out! Thank you!

carolzhang
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Theres a reason there no dislikes on this video. Very well made. Thank you so much Sreenivas! You gained a new subscriber,

josuegialis
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Your classes are just brilliant and useful sir .
Thank you so much.

koushikks
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Kernels and filters made easy 👍 Great job. I appreciate your work Sir

canklc
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You are describing correlation.
You must rotate (180 degre) the kernel / filter if you want perform the convolution (mathematical function)
the convolution is richer (commutative and associative9 than correlation

WahranRai
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Thank you. I like how you make everything look so simple.

sau
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Hello, thank you for this tutorial ! But I still not confortable with some points for exemple how you choosing the values of the kernel ?! Why form -1 to 2 ? What the logic behind it ? What if we change values positions ?

Sdirimohamedsalah
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can we do convolution without any of the 3 approaches. like just using the numerical part??

benjaminnunoo
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Hi sir, I want to ask you about bicubic convolution interpolation in image to addopt on pixel estimation on wide missing pixels. Is it possible to use 8x8 neighbour pixels to perform bicubic convolution interpolation? How about the kernel and the interpolation formula?

salmamoora
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Excellent Sir. explained very clearly. Sir, Can you upload videos on Gaussian interpolation and optimization techniques with Matlab codes?

mrs.t.v.h.lakshmiecedept.
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Sir please how we can apply unet if we have image with nii.gz extension with (256, 256.28) and not with 3 canal

yacine
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please sir make a video how to fine slope of line in python

programmingwithrabia
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Sir, is local standard deviation realizable via similar concepts?

martinhan
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Hi Sreeni. I really appreciate your work but I have one suggestion. I found your lecture series a bit out of flow. It would be really nice if there were different playlist based on the topic. for example image convolution introduction is lecture 95 and an example of CNN is lecture 71. It would be really helpful if you focus on one topic. e.g start with deep learning followed by CNN and then some practical examples of CNN. IThanks

azazhussain
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please upload a tutorial on fourier transformation on an image and its applicaiton

ernestiu
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Sir.. Please upload video of DCT coding for JPEG image...

shubhamshaurya
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cv2 is not working with me even though I upload it!

reemalmijmaj
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Could you please make a video to explain wiener filter and radial wiener filter? Thanks

kaycheng