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.

[@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 ❣️

[@thunderbeast3150]

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[@siddharthpatil9519]

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[@mokshinkoul444]

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

[@amalale4047]

Nice mam thank youu

[@manjuchakraborty3945]

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

[@arjavjain1434]

Bhadwe padai pe dhyaan de

[@vaibhavagarwal8899]

Yes it sounds weird dude please don't everh

[@stanlyvarghese9048]

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

[@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

[@kalirossi920]

Great video, really helped me understand filtering!

[@mohdarsalan794]

Thanks alot. Your voice is very melodious.

[@amvsekai]

Clear and concise explanation
Thanks a lot💙🙏

[@SARDAR_EDITS]

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

[@adityabhargava927]

Made such a difficult topic soo easy to understand

[@collegefriendly]

Thank you so much😊

[@rimpidebnath8450]

Amazing. Just perfect!

[@user-gk9uc6pu4g]

A great and very distinctive explanation

[@hitmoviesandwebseries4690]

Thank you ❤️
Kal Mera paper h
You thought very well

[@ankurjyotichakrabarty]

saved me from semester exam :)

[@sukulalmundari4880]

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

[@coreygates1162]

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

[@alinatik35]

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

[@rajasekhar5982]

Very nice explanation .... Thank you very much

[@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

[@devesh096]

Thank You So Much For The Videos.

[@stanlyvarghese9048]

thank you ma'am

[@JyotiSharma-bt6tu]

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

[@prasadpusalkar123]

great explanation, nice and crisp.

[@NourHmuser]

maam why you consider 2*2 as 6 not 7?
we start rank of matrix from 0?

[@WaleedAhmed-no8yl]

great explanation nice work ma'am

[@anirudhmenon9099]

ma'am what about gaussian filter

[@adityanath8946]

Really helped a lot

[@sahilmakandar773]

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

[@Vaidehi962]

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

[@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

[@pamp3657]

Good video. Thank you.

[@suntech7094]

perfect

[@020hamza2]

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

[@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

[@sahilmakandar773]

Great video

[@ZohaJaved795]

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

[@roshanantony7467]

awesome, keep it up

[@sanjyotpatil7]

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

[@AritraPain-pt7lq]

Please give me a book recommendation for this dip subject🎉

[@ambikeshwarclasses6058]

Thanks a lot

[@bhagyashribhashkar]

Thank you mam❤️

[@abhinavbest2553]

Your voice is beautiful

[@souradeepmanna6483]

bah didi bah....didi bah didi bahhhhhhh

[@jashanbhayana8089]

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

[@arun3151997]

please post more!

[@muaazchihabi8025]

thank youuuuuuuuuuuuuuuuuuuuuuu

[@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

[@mihiragarwal1269]

Thanks fr the video😍

[@collegefriendly]

Welcome😊

[@gouravkumar9642]

Mam can i get your notes

[@gursimartakkar537]

maza aagya

[@pranjalsoni2874]

2:20 wow

[@vishnunair5853]

thank u didi

[@m.d.r3086]

thanks for explaining, I need the lectures pdf plz

[@VinayKumar-dd7tt]

Mam which book you are following, please reply

[@sawsanasjea4828]

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

[@shakilrana1871]

Godd mam g nice

[@pavanirallabandi6229]

👍😍tqq

[@akashsinghdahiya5862]

👍👍

[@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.

[@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.

[@keerthim239]

Can you provide notes mam

[@AnandSharma-lt8wq]

Mam can you upload your notes

[@heba77777]

thanks
can we have you note plz ?

[@rohansaraswat8873]

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

[@mazharul85]

Apu help me

[@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

[@gayathriraghusing7686]

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

[@gursimartakkar537]

time to buy new earphones

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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.