Smoothing Spatial Filters in digital image processing

In this video, we talk about Smoothing Spatial Filters in digital image processing.
This video also talks about box filters, weighted average filters, Gaussian filters, median filters, min and max filters which come under linear and non-linear Smoothing filters.
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[@jesus99384662]

You're an amazing instructor. Simple & clear explanation, perfect understandable English, and straight to the point! Thank you for your effort.

[@020hamza2]

Your way of teaching is just perfect because you teach theory then numericals in proper sequence.

[@kalirossi920]

Great video, really helped me understand filtering!

[@amvsekai]

Clear and concise explanation
Thanks a lot💙🙏

[@saadtahsan]

I imagine you as my girlfriend who is teaching me! It helps me to focus more lol. Don't take it otherwise. May God bless you

[@collegefriendly]

Whatever helps you focus😂

[@saadtahsan]

@@collegefriendly I'm so greatful to you, Mam. Few hours ago i finished my exam and your method helped me a lot. I would be very happy to get more video from you. Have a wonderful day ❣️

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[@coreygates1162]

thank you!!! very easy to follow , great job!!

[@manjuchakraborty3945]

Sounds wierd but I love your voice.. ahem ahem..focus on the topic..

[@arjavjain1434]

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[@vaibhavagarwal8899]

Yes it sounds weird dude please don't everh

[@stanlyvarghese9048]

@@vaibhavagarwal8899 he's not wrong though. She even liked his comment.

[@mohdarsalan794]

Thanks alot. Your voice is very melodious.

[@mokshinkoul444]

thanks a lot ma'am. Really relieved my tension. Great quality content.

[@amalale4047]

Nice mam thank youu

[@user-gk9uc6pu4g]

A great and very distinctive explanation

[@rimpidebnath8450]

Amazing. Just perfect!

[@rajasekhar5982]

Very nice explanation .... Thank you very much

[@prasadpusalkar123]

great explanation, nice and crisp.

[@sunilshetty7268]

The video was really helpful, I would request you to make a video on the Laplace filter, thanks.

[@bilalislam9869]

thank you mam , really helped me understand filters

[@WaleedAhmed-no8yl]

great explanation nice work ma'am

[@sahilmakandar773]

Can you please explain in image size reduction how this interpolations will work(nearest, bilenear, bicubic). It will help a lot

[@SARDAR_EDITS]

Hi, thanks for the tutorial, they are really helpful, wish you could do some more examples on Filters

[@hitmoviesandwebseries4690]

Thank you ❤️
Kal Mera paper h
You thought very well

[@devesh096]

Thank You So Much For The Videos.

[@adityabhargava927]

Made such a difficult topic soo easy to understand

[@collegefriendly]

Thank you so much😊

[@user-by7xs7qk5c]

can you please explain the difference between box filter and average filter because we are getting same answer only difference i see is the use of different mask

[@adityanath8946]

Really helped a lot

[@roshanantony7467]

awesome, keep it up

[@VinayKumar-dd7tt]

Mam which book you are following, please reply

[@alinatik35]

Straight to the point .......... You just solved my problem ............. I LOVE YOU thank you sooooo much ....🌹

[@harshavantaku7003]

thank you so much..... watched all your vidoes just before day of exam and understood everything...!! Great explaination
Explained in a detailed way...!!😃

[@collegefriendly]

Thank you😊

[@gursimartakkar537]

same here buddy

[@pamp3657]

Good video. Thank you.

[@anirudhmenon9099]

ma'am what about gaussian filter

[@stanlyvarghese9048]

thank you ma'am

[@sahilmakandar773]

Great video

[@jashanbhayana8089]

can somebody tell the role of surrounding numbers of the matrix?

[@ysf2143]

When we change the center pixel in both box and weighted filter, does the 6 become 5 or we should subtract (6-5) so the center becomes 1 ?

[@sreejithcs9443]

6 becomes 5

[@ZohaJaved795]

Can you please do question on gaussian filter as well??

[@sukulalmundari4880]

Thank u madam. Madam, one request make a video for sharpening filter ....

[@JyotiSharma-bt6tu]

Thank you very much ma'am these notes are very helpful.

[@AritraPain-pt7lq]

Please give me a book recommendation for this dip subject🎉

[@ankurjyotichakrabarty]

saved me from semester exam :)

[@mihiragarwal1269]

Thanks fr the video😍

[@collegefriendly]

Welcome😊

[@bhagyashribhashkar]

Thank you mam❤️

[@ambikeshwarclasses6058]

Thanks a lot

[@m.d.r3086]

thanks for explaining, I need the lectures pdf plz

[@sanjyotpatil7]

thank u so much mam....excellent...can u share the written notes...

[@arun3151997]

please post more!

[@sawsanasjea4828]

Very good , thnks.
Can we get the slides as pdf, please.

[@Vaidehi962]

Thanks a lot sister, your videos are extremely helpful for me, and your voice is so beautiful.

[@gouravkumar9642]

Mam can i get your notes

[@020hamza2]

Very nice content in 7 semester jamia hamdard university they are teaching this.

[@muaazchihabi8025]

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[@abhinavbest2553]

Your voice is beautiful

[@vishnunair5853]

thank u didi

[@gursimartakkar537]

maza aagya

[@birukasrat5234]

thanks a lot, I am from Ethiopia. how can I get your notes

[@collegefriendly]

Thanks. I am afraid you'll have to make the notes from the video.

[@DarrylGaming598]

I want to ask, the answer from the box/mean filter is 4.66 and rounded to 5. Why is the answer from the weighted average filter is 5.0625 and not rounded to 6?

[@rohanwarghade7111]

coz its is not 5.5

[@akashsinghdahiya5862]

👍👍

[@pavanirallabandi6229]

👍😍tqq

[@heba77777]

thanks
can we have you note plz ?

[@dicklexiclemon7487]

Hey whats the difference between weighted avg and gaussian? both had the same weights in your example.

[@ravikiran4495]

Just my dumb observation but I think Gaussian is probably more accurate, if you can see the matrix you kinda can observe two normal distributions along x&y axes of central pixel's(Target pixel) row and column the diagonal ones however, are having a very little weightage because of the way that they're too far from the centre most likely be less influenced by the value(Intensity even in minute levels) from the central pixel, the gaussian filter here takes variance into account while assigning such weights,Where the WA filter doesn't and ofcourse exponential being more smooth than a "linear" weighted average gives us more room to play with? But the end of the day its all an approximation which depends on several physical/Optical factors.so there's that.

[@AnandSharma-lt8wq]

Mam can you upload your notes

[@souradeepmanna6483]

bah didi bah....didi bah didi bahhhhhhh

[@pranjalsoni2874]

2:20 wow

[@keerthim239]

Can you provide notes mam

[@shakilrana1871]

Godd mam g nice

[@mazharul85]

Apu help me

[@rohansaraswat8873]

Sorry but you are just reading the notes, A bit of explanation would have been too helpful 😐

[@anmol3]

The video is stuttering.

[@testcase8070]

Thank you very much. Nice work. But please correct your pronunciation of "Gaussian". It was sounding a bit weird.

[@champu8835]

did that prevent you from understanding her video? no. so stfu and appreciate her effort

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Your voice is tooooooooooooooo slow sis.. Not audible..

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Anushree Ji can we get to know you more in person? like on Insta.

[@lamesgendesta4446]

You're an amazing instructor. Simple & clear explanation, perfect understandable English, and straight to the point! Thank you for your effort.

[@mohamedessawey4192]

You're an amazing instructor. Simple & clear explanation, perfect understandable English, and straight to the point! Thank you for your effort.