DIP 05 - Image Restoration - (5) Deconvolution / de-blurring with (pseudo)-inverse filter in python

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  • เผยแพร่เมื่อ 23 ม.ค. 2025

ความคิดเห็น • 7

  • @kanchi_98
    @kanchi_98 3 ปีที่แล้ว

    How do we compute SNR between input and the reconstructed image for blind motion using python ?

  • @jamespaz4103
    @jamespaz4103 2 ปีที่แล้ว +1

    Hello Good day, I am a college student and would liked to commend your program, video, documentation about this Image Restoration filter. This is very useful to our ongoing research, primarily the usage of gaussian filter function to convolve/blur an image. We also used and included it in our research references, and rest assured proper credits will still be given. Thank you.

  • @spotted756
    @spotted756 4 ปีที่แล้ว +2

    Hello, is the documentation shown available somewhere?
    I am studying this for an exam.

    • @MoacirAntonelliPontiUSP
      @MoacirAntonelliPontiUSP  4 ปีที่แล้ว +3

      github.com/maponti/imageprocessing_course_icmc

    • @spotted756
      @spotted756 4 ปีที่แล้ว

      @@MoacirAntonelliPontiUSP Thank you.
      Out of curiosity, do you know the reason why in here:
      medium.com/@gautamnagrawal/rotating-image-by-any-angle-shear-transformation-using-only-numpy-d28d16eb5076
      The author adds +1 in this operation (it is not included in the math formula):
      new_height = round(abs(image.shape[0]*cosine)+abs(image.shape[1]*sine))+1
      ?
      Thank you in advance.

  • @Vlogs_with_sai_
    @Vlogs_with_sai_ 4 ปีที่แล้ว

    Can u send this code In one pdf form

    • @MoacirAntonelliPontiUSP
      @MoacirAntonelliPontiUSP  3 ปีที่แล้ว +4

      I have all code here: github.com/maponti/imageprocessing_course_icmc
      you can fork the repo or download it