Lecture 2 Image Digitization I

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  • เผยแพร่เมื่อ 24 ธ.ค. 2024

ความคิดเห็น • 31

  • @hwaakthuu
    @hwaakthuu 5 ปีที่แล้ว +5

    right ear feels blessed

  • @USJ2020
    @USJ2020 14 ปีที่แล้ว

    Thank you Prof Biswas! very clear!
    I have spent 1 day reading it by myself which I couldn't understand. But you make me understand it easily now.

  • @j0hmama
    @j0hmama 8 ปีที่แล้ว +1

    This has helped me understand the vocabulary used in image processing.

  • @satvirsinghsidhu2096
    @satvirsinghsidhu2096 10 ปีที่แล้ว

    Delivering qualitative knowledge... Very good lecture sir

  • @vanessaingrid7582
    @vanessaingrid7582 8 ปีที่แล้ว +1

    You are such a good lecturer!! Perfect!

  • @arun090993
    @arun090993 11 ปีที่แล้ว

    thank you for every one who made this video lectures.

  • @blackhawkLprince
    @blackhawkLprince 12 ปีที่แล้ว +1

    If anyone else was confused at 29:40 like me he is not finding the fourier series of the delta function (which would be impossible as it is not periodic) but finding the fourier series of the comb function.

  • @DHEERAJkumar-xt3yn
    @DHEERAJkumar-xt3yn 5 ปีที่แล้ว +1

    @10:20 there should be f(M-1,1), f(M-1,2)...........f(M-1,N-1)..

  • @thevirajshelke
    @thevirajshelke 9 ปีที่แล้ว

    @nptelhrd the audio is only on one channel :)
    People facing problem switch to Either Mono left or right !
    Mono Right worked for me :)
    Awesome lecture :)

    • @divyapoojary3262
      @divyapoojary3262 7 ปีที่แล้ว

      Viraj Shelke how to fix this plz help

  • @brushmandroid
    @brushmandroid 9 ปีที่แล้ว +1

    @14:50 Some Old technique! You don't have to do the DA conversion before presentation on a display anymore!! How old is this?

  • @anshumansinha5874
    @anshumansinha5874 4 ปีที่แล้ว

    @23:43 shouldn’t it only be Xs(t) = Sum (0: inf) [ X(mΔt) ] ?

  • @raghav429
    @raghav429 13 ปีที่แล้ว

    thank you very much prof.biswas

  • @inderpreetsinghchhabra6926
    @inderpreetsinghchhabra6926 8 ปีที่แล้ว

    Helpful lecture series

  • @roboti-cist6697
    @roboti-cist6697 8 ปีที่แล้ว +1

    Thank you for this lecture. could you please get more examples

  • @jingweixuan395
    @jingweixuan395 8 ปีที่แล้ว +1

    Very good ,thanks

  • @LinLang2007
    @LinLang2007 11 ปีที่แล้ว +4

    The audio is only on one channel, just FYI.

  • @MuditGupta
    @MuditGupta 12 ปีที่แล้ว

    thnks professor :)

  • @don2186
    @don2186 10 ปีที่แล้ว +1

    At 43.13 min.. Isn't the Fourier transform of the convolution equal to product in frequency domain?

  • @brushmandroid
    @brushmandroid 9 ปีที่แล้ว +1

    any answers to the questions presented at the end??

  • @narayansuthar3368
    @narayansuthar3368 11 ปีที่แล้ว

    Thanks!!

  • @強健控制實驗室
    @強健控制實驗室 8 ปีที่แล้ว +2

    Am I wrong? Diract delta function should be infinite at one point and be zero for others?

    • @inderpreetsinghchhabra6926
      @inderpreetsinghchhabra6926 8 ปีที่แล้ว

      it is but only in the continous time domain whereas in discrete time domain it has a specific value at the point of existence

    • @bharadwajaryasomayajula7887
      @bharadwajaryasomayajula7887 7 ปีที่แล้ว

      Then it should be called Kronecker Delta...

    • @atchutram9894
      @atchutram9894 6 ปีที่แล้ว

      Your answer only confuses. In the present context the lecturer is wrong. Straight and simple. Sampler should have train of impulses where each impulse have unit energy. Discrete domain is irrelevant.

  • @mukeshtripathi2268
    @mukeshtripathi2268 12 ปีที่แล้ว

    thanks a lot sir...

  • @kankipatishiney2209
    @kankipatishiney2209 10 ปีที่แล้ว

    thank you sir

  • @ashokaarya2238
    @ashokaarya2238 8 ปีที่แล้ว

    nice lecturer but its too long boring but have a nice and usefull information

  • @riseabovehate9476
    @riseabovehate9476 6 ปีที่แล้ว

    Category: Comedy ???