Sharpening Spatial filters in digital image processing with examples

In this video, we talk about Sharpening Spatial filters in digital image processing
This video also talks about the foundation of sharpening filters, Laplacian filter, and Enhanced Laplacian filter.
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few important theory questions- • Few Important Theory Q...

[@Jocareher]

Hey! You're saving my life, literally! I'm gonna have my first Image Processing's exam in two weeks, and I hadn't understood anything till I found your channel! You're a MVP! Now, I finally have an idea about what are all those concepts and formulas!
Thanks a lot! I definitely subscribe!

[@chidanandskusur4054]

Respected Madam,
Yours explanation is so easy to understand. Thank you madam.

[@collegefriendly]

Thank you😊

[@watchlistsclips3196]

zombie apocalypse in the background , but ma'am still teaching. #RESPECT

[@ayushraman1874]

Sahi bola bhai 😂🤣🤣

[@M.Taskeen-Ikhlas]

Astaghfiruallah Brother its Azaan Respect Other religion

[@akash_h_r_striker_ruler]

background may namaz padi ja rahi hae baas!😂🤣

[@Neetigya]

None of the other videos have examples except yours. Thanks, this will save us in exams...

[@thedoubleengineerYT]

At 16:51 center will be 100*(-8).
And thank you very much, you are saving my semester.

[@todayspecial9705]

love the way you speak your name and when you say here

[@manasbanjare3198]

there is a doubt, 450+300-400 = 150? it should be 350
and also 150+500-400 = -150? it should be 250
did you use some different method or is there any rule followed.
Any one can solve this problem ?

[@knighthacker2307]

why azan in every video...is your lecture shooting time and Azzan time same?? But still good work...

[@mihiragarwal1269]

Made the concept very easy to understand 😇

[@rahuljindal3683]

18:09
We know that we have +ve intensity values (0- 2^n-1). Right!
In the output image, we have few negative values, so shall we round them off to 0 as we did in previous few lectures?

[@ronithrock2015]

yes bro

[@pareshmhatre4019]

Your efforts are tremendous!
My suggestion to you start the series of episodes with practical knowledge,
Start with analog image, and end with analog image (degital copy of analog image)
Not only students but anyone wants to know about this can easily understand!
I mean to say, image, camera sensor, ADC, memory, print etc must be involved.

[@UnitedIndia397]

Huge Thanks to you madam!

[@komalnigam2102]

can you explain why in Q3 you have take that operateor ?
and why not -4 centre operator?
please do reply... i have my exams

[@abhikranjanhalder9788]

Thanks sister for saving us this time ❤️

[@suntech7094]

Thank you very much.

[@ayushjajodia1731]

Can we replace the negative intensity values with 0?

[@govindgupta6676]

In Ques. 2; We'll get output as -20 if apply the enhaced filter with -5 as center but with other mask, the answer is -24 as shown by you. Then which one is correct ??

[@nisba5379]

Tqsm for ur explanation,itz really outstanding maam

[@Abhishek_raj_2202]

maam which video is for smoothing frequency domine filter-sharpning filter domine filter

[@ramrawat681]

what do you mean by -ve pixel value after applying the filter ?

[@nabanitapaul175]

if the center pixel is increased by 1 then its value would be -3 and -7 as given in the example

[@shubhanshumohancs2097]

In Q.3 there is a small calculation mistake . When shifting the mask 3rd time ( 50 * 5 +100 * 3 - 50 * 8 )
= 250 + 300 - 400
=150
instead of 250 by mistake you have written 450.

[@Abhishek_raj_2202]

Here we have to do convolution for center pixel only ?

[@wolfie8748]

why didnt you do zero padding maam ? at 13:00 ????

[@whiffmaster2693]

16:11
How is that 450?

[@imeshrupasinghe6157]

GREAT THANKS !!!!

[@abdulllah4855]

Why did you stop making videos they are helpfull

[@muhammadshahzaib2159]

MashaAllah azan b horaha hy

[@nizarahmed7463]

Ma'am pls thoda volume badha dijiye video me without earphone sunai nhi deta

[@atikhasan4358]

Mistake at 16:24 and 17:21. Thus the result image is wrong.

[@collegefriendly]

Thank you so much for pointing this out. The values would be 350 and 250 and therefore the final image would differ accordingly. I hope that you understood the concept though :)

[@atikhasan4358]

@College Friendly Thank you for detailed explanation. But sharpen_image = original_image - filtered_image. Here, you only determined the filtered_image, not the sharpen image. This actually made some confusion. Keep posting.

[@pritamdas4441]

@@atikhasan4358 ​ @College Friendly we have to subtract the original image from the filtered image to get the final sharpened enhanced image right?

[@tahseenali5609]

MAAM CAN YOU UPLOAD BAYS THEOREM?

[@Abhishek_raj_2202]

Maam method of convolution is different in video 11

[@dr.mallikarjunmudda3689]

nice presentation

[@namanchaudhary5837]

In the laplacian filter ex where we got -14, we've to write 14. right?

[@anmol3]

I guess we'd have to write 0.
However I'm not sure man.

[@vlogwitharatrik5463]

16:17 that is not 450 ......50×5=250...... otherwise excellent playlist ma'am.....

[@uvs_6032]

in Q1 we got -14 but i guess we will have to write 0 because gray level value cant be negative

[@ankitkw]

Yeah, same in Q2 too.

[@mdumarfarooque4213]

i guess ma'am u have made mistake in q3
50*5=250 but u have written 450 and calculated accordingly

[@darakhshannayab9636]

❤️🙌❤️

[@shubhamkhopde2917]

you are teaching the best !!! but you got confused in this sum due to numbers .....your answer is wrong

[@020hamza2]

All good but audio is less

[@satyamtomar8569]

Pls Upload Notes Also

[@shaktiprasannapani9941]

thanks girl....its a real help
NAAGESWAR MURMU...CASI HOW'RE YOU BROTHA

[@deepanshusharma2102]

cancer is everywhere

[@YASH-be3lc]

be loud madam

[@harshmaheshwari5104]

Calculations toh theek kiya karo

[@harshmaheshwari5104]

50*5 = 250 not 450

[@talhaking5061]

ma'am are you single

[@manjuchakraborty3945]

Wow..lol

[@anmol3]

@@manjuchakraborty3945 lol

[@watchlistsclips3196]

@@anmol3 lol

[@tikmark4234]

@@watchlistsclips3196 lol