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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2024-07-18 3 52 S01 denoising which is a very important term in
Oral Assessments Graduate 2024-07-18 3 53 S01 my field (0.5) uh and t- uh so maybe it seems
Oral Assessments Graduate 2024-07-18 3 54 S01 very obvious uh from the word that uh what
Oral Assessments Graduate 2024-07-18 3 55 S01 we are required uh to do↘ and it is that
Oral Assessments Graduate 2024-07-18 3 56 S01 so we need to remove the noise from a gray image
Oral Assessments Graduate 2024-07-18 3 57 S01 and here I'd like to make a more formal uh
Oral Assessments Graduate 2024-07-18 3 58 S01 uh definition about it→ it is at first uh
Oral Assessments Graduate 2024-07-18 3 59 S01 well→ we have uh suppose we have a one hundred
Oral Assessments Graduate 2024-07-18 3 60 S01 percent clean image which is usually not uh
Oral Assessments Graduate 2024-07-18 3 61 UNK %err:PRO
Oral Assessments Graduate 2024-07-18 3 62 S01 common in in- okay
Oral Assessments Graduate 2024-07-18 3 63 T01 what do you mean by a clean image↘
Oral Assessments Graduate 2024-07-18 3 64 S01 well we have a clean image is that uh mm
Oral Assessments Graduate 2024-07-18 3 65 S01 a kind of images that's free of noise uh maybe
Oral Assessments Graduate 2024-07-18 3 66 S01 there are not one part there actually in the reality
Oral Assessments Graduate 2024-07-18 3 67 S01 there are no uh one hundred percent clean image
Oral Assessments Graduate 2024-07-18 3 68 S01 but there are re- really- relative clean image
Oral Assessments Graduate 2024-07-18 3 69 S01 for instance that you make a image uh through your
Oral Assessments Graduate 2024-07-18 3 70 S01 mobile phone and you make your uh image through
Oral Assessments Graduate 2024-07-18 3 71 S01 uh a camera a professional camera you can find
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