Sharpening Spatial filters in digital image processing with examples

Поділитися
Вставка
  • Опубліковано 8 вер 2024
  • 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.
    Kindly like, share and subscribe if you like the video!
    Check out our previous videos!
    Introduction to digital image processing - • Introduction to Digita...
    Key stages in digital image processing - • Key stages in digital ...
    Sampling and Quantization in digital image processing - • Sampling and Quantizat...
    Relationship between pixels Neighbourhood and Adjacency of Pixels-
    • Relationship between p...
    Distance Measures Between Pixels with examples- • Distance Measures Betw...
    Arithmetic Operations and Logical Operations between Images in digital image processing-
    • Arithmetic Operations ...
    Point operations in digital image processing with examples -
    • Point operations in di...
    Contrast Stretching and intensity level Slicing in digital image processing with examples -
    • Contrast Stretching an...
    Logarithmic Transformation and power-law Transformation in digital image processing with examples -
    • Logarithmic Transforma...
    Image Enhancement in digital image processing with Histogram Equalization -
    • Image Enhancement in d...
    Histogram matching in digital image processing - • Histogram matching in ...
    Fundamentals of Spatial Filtering in digital image processing - • Fundamentals of Spatia...
    Smoothing Spatial Filters in digital image processing - • Smoothing Spatial Filt...
    few important theory questions- • Few Important Theory Q...

КОМЕНТАРІ • 61

  • @Jocareher
    @Jocareher 2 роки тому +20

    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!

  • @watchlistsclips3196
    @watchlistsclips3196 2 роки тому +27

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

  • @Neetigya
    @Neetigya 3 роки тому +5

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

  • @chidanandskusur4054
    @chidanandskusur4054 3 роки тому +6

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

  • @thedoubleengineerYT
    @thedoubleengineerYT 2 місяці тому

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

  • @knighthacker2307
    @knighthacker2307 Рік тому +9

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

  • @todayspecial9705
    @todayspecial9705 10 місяців тому +1

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

  • @manasbanjare3198
    @manasbanjare3198 8 місяців тому +4

    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 ?

  • @mihiragarwal1269
    @mihiragarwal1269 3 роки тому +2

    Made the concept very easy to understand 😇

  • @pareshmhatre4019
    @pareshmhatre4019 2 роки тому +2

    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
    @UnitedIndia397 Рік тому +1

    Huge Thanks to you madam!

  • @abhikranjanhalder9788
    @abhikranjanhalder9788 Рік тому

    Thanks sister for saving us this time ❤️

  • @suntech7094
    @suntech7094 Місяць тому

    Thank you very much.

  • @nisba5379
    @nisba5379 Рік тому

    Tqsm for ur explanation,itz really outstanding maam

  • @rahuljindal3683
    @rahuljindal3683 Рік тому +4

    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?

  • @komalnigam2102
    @komalnigam2102 2 роки тому +3

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

  • @muhammadshahzaib2159
    @muhammadshahzaib2159 Рік тому +1

    MashaAllah azan b horaha hy

  • @ayushjajodia1731
    @ayushjajodia1731 2 роки тому +2

    Can we replace the negative intensity values with 0?

  • @imeshrupasinghe6157
    @imeshrupasinghe6157 Рік тому

    GREAT THANKS !!!!

  • @govindgupta6676
    @govindgupta6676 11 місяців тому

    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 ??

  • @dr.mallikarjunmudda3689
    @dr.mallikarjunmudda3689 Рік тому

    nice presentation

  • @shubhanshumohancs2097
    @shubhanshumohancs2097 2 роки тому +3

    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.

  • @nabanitapaul175
    @nabanitapaul175 Рік тому

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

  • @Abhishek_raj_2202
    @Abhishek_raj_2202 2 роки тому

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

  • @darakhshannayab9636
    @darakhshannayab9636 2 роки тому +1

    ❤️🙌❤️

  • @whiffmaster2693
    @whiffmaster2693 Рік тому +1

    16:11
    How is that 450?

  • @abdulllah4855
    @abdulllah4855 2 роки тому

    Why did you stop making videos they are helpfull

  • @ramrawat681
    @ramrawat681 Рік тому

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

  • @wolfie8748
    @wolfie8748 4 місяці тому

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

  • @vlogwitharatrik5463
    @vlogwitharatrik5463 9 місяців тому

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

  • @atikhasan4358
    @atikhasan4358 3 роки тому +4

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

    • @collegefriendly
      @collegefriendly  3 роки тому +3

      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
      @atikhasan4358 3 роки тому +2

      @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
      @pritamdas4441 3 роки тому

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

  • @Abhishek_raj_2202
    @Abhishek_raj_2202 2 роки тому

    Here we have to do convolution for center pixel only ?

  • @shaktiprasannapani9941
    @shaktiprasannapani9941 2 роки тому

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

  • @mdumarfarooque4213
    @mdumarfarooque4213 2 місяці тому

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

  • @uvs_6032
    @uvs_6032 Рік тому +1

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

    • @ankitkw
      @ankitkw 6 місяців тому

      Yeah, same in Q2 too.

  • @tahseenali5609
    @tahseenali5609 Рік тому

    MAAM CAN YOU UPLOAD BAYS THEOREM?

  • @Abhishek_raj_2202
    @Abhishek_raj_2202 2 роки тому

    Maam method of convolution is different in video 11

  • @nizarahmed7463
    @nizarahmed7463 2 роки тому

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

  • @020hamza2
    @020hamza2 11 місяців тому

    All good but audio is less

  • @namanchaudhary5837
    @namanchaudhary5837 2 роки тому

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

    • @anmol3
      @anmol3 2 роки тому +1

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

  • @satyamtomar8569
    @satyamtomar8569 2 роки тому

    Pls Upload Notes Also

  • @shubhamkhopde2917
    @shubhamkhopde2917 2 роки тому

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

  • @YASH-be3lc
    @YASH-be3lc 5 місяців тому

    be loud madam

  • @deepanshusharma2102
    @deepanshusharma2102 2 місяці тому

    cancer is everywhere

  • @harshmaheshwari5104
    @harshmaheshwari5104 6 місяців тому

    Calculations toh theek kiya karo

  • @talhaking5061
    @talhaking5061 3 роки тому +2

    ma'am are you single