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MMAT5390202021 - Shared screen with speaker view
Ka Lung CHAN
01:12:16
YES
Ray JIN
01:12:17
YES
Peiqin LI
01:12:18
hello
Ho Renee TIN
01:12:20
yes
Gai HUANG
01:12:25
yes
Ka Lung CHAN
01:12:26
HI
Ka Lung CHAN
01:12:35
YES
Ho Renee TIN
01:12:36
yes
Ka Lung CHAN
01:20:47
YES
Zhe CHEN
01:20:50
yes
Ray JIN
01:20:55
yes
Ho Renee TIN
01:20:56
yes
Wing Suet CHU
01:20:57
YES
Ka Lung CHAN
01:24:21
YES
James Tung
01:24:25
yes
Ray JIN
01:27:16
yes
Ho Renee TIN
01:27:16
ok
Ka Lung CHAN
01:27:17
YES
Wing Suet CHU
01:27:18
yes
James Tung
01:28:16
3.
James Tung
01:28:24
00.....
James Tung
01:28:26
.
James Tung
01:28:43
yes
James Tung
01:28:48
Just keyboard not working
Wing Suet CHU
01:30:23
yes
Ka Lung CHAN
01:30:24
YES
Zhe CHEN
01:30:25
yes
Ka Lung CHAN
01:35:03
YES
Ka Lam LEE
01:35:04
yes
Zhe CHEN
01:35:05
yes
Wing Suet CHU
01:35:05
yes
Ho Renee TIN
01:35:05
yes
Ho Renee TIN
01:38:07
why do we want it to follow Gaussian distribution?
Ho Renee TIN
01:38:43
just for convinience?
Ho Renee TIN
01:38:48
ok
Ka Lung CHAN
01:43:35
yes
Chen CHEN
01:43:35
yes
Ho Renee TIN
01:43:36
ok
Wing Suet CHU
01:43:37
yes
Ka Lung CHAN
01:50:45
yes
Ray JIN
01:50:46
yes
Chen CHEN
01:50:47
yes
Wing Suet CHU
01:50:48
yes
Zhe CHEN
01:50:49
yes
James Tung
01:50:49
yes
Ho Renee TIN
01:50:52
ok
Peiqin LI
01:50:54
yes
Ka Lung CHAN
01:51:30
so band pass filter will be better?
Ka Lung CHAN
01:52:02
ok. thank you
Chin Ting Tsang
01:52:20
yes
Ka Lung CHAN
01:57:38
-1?
Ray JIN
01:57:41
-1
Peiqin LI
01:57:44
1 or -1
Zhe CHEN
01:57:46
1?
Ho Renee TIN
01:58:26
yes
Timothy
01:58:27
yes
Peiqin LI
01:58:29
yes
Zhe CHEN
01:58:32
yes
Ho Renee TIN
01:59:51
yes
Ka Lung CHAN
01:59:53
YES
Ka Lung CHAN
02:00:58
YES
Ho Renee TIN
02:00:59
ok
Peiqin LI
02:01:01
yes
Chen CHEN
02:01:01
yes
Ka Lung CHAN
02:01:28
YES
Ho Renee TIN
02:03:03
yes
Chen CHEN
02:03:03
yes
Ho Renee TIN
02:04:56
yes
James Tung
02:05:26
yes
Ray JIN
02:05:30
yes
Ka Lung CHAN
02:09:28
YES
Ho Renee TIN
02:09:29
ok
James Tung
02:09:30
yes
Ho Renee TIN
02:11:52
ok
James Tung
02:11:56
yes
Chen CHEN
02:13:10
yes
Ka Lung CHAN
02:13:12
yes
Zhe CHEN
02:13:14
yes
James Tung
02:15:00
What is the definition of high and low frequency component?
James Tung
02:18:40
yes
Ka Lung CHAN
02:18:45
YES
Ho Renee TIN
02:18:47
yes
Ka Lung CHAN
02:19:10
YES
Peiqin LI
02:19:12
yes
Ka Lung CHAN
02:24:03
yes
Ray JIN
02:24:08
Yes
janet
02:24:08
yes
James Tung
02:24:10
yes
HY
02:24:12
yes
James Tung
02:27:58
yes
Ho Renee TIN
02:28:01
ok
Ka Lung CHAN
02:28:03
YES
Peiqin LI
02:32:38
can G=HF be computed by convolution?
Peiqin LI
02:33:41
understand, thank you
Ho Renee TIN
02:34:05
Why do we want to do the centralisation?since we can still set H near centre to be 0
Ka Lung CHAN
02:34:32
YES
Wing Suet CHU
02:34:34
yes
James Tung
02:36:00
So do we do centralization for both high pass and low pass filtering?
Ho Renee TIN
02:36:05
Thank you
James Tung
02:36:49
Ok thanks
Ka Lung CHAN
02:39:39
YES
Ho Renee TIN
02:39:40
yes
Ka Lung CHAN
02:40:16
YES
Chen CHEN
02:40:17
yes
Ray JIN
02:40:17
yes
Ka Lung CHAN
02:42:50
YES
Ray JIN
02:42:51
yes
Ka Lung CHAN
02:45:17
yes
Ho Renee TIN
02:45:31
the result is not that ideal 0_____0''
Ho Renee TIN
02:45:58
yes
Ho Renee TIN
02:46:28
oh we cannot see your screen
Ka Lam LEE
02:46:33
Black screen?
Timothy
02:46:37
black screen?
Ka Lung CHAN
02:46:40
only a hand hand
Ka Lung CHAN
02:46:44
ok now
Timothy
02:46:45
yes
Ho Renee TIN
02:46:46
ok
James Tung
02:46:47
yes
Kwong Ming KWOK
02:46:50
yes
Ka Lung CHAN
02:50:48
yes
Ray JIN
02:50:48
yes
Ka Lung CHAN
02:51:48
YES
Timothy
02:51:48
yes
Ray JIN
02:51:50
yea
Chen CHEN
02:51:50
yes
Ka Lung CHAN
03:07:55
YES
James Tung
03:07:59
yes
Peiqin LI
03:07:59
is gaussian noise a special type of white noise?
Chen CHEN
03:08:01
yes
Peiqin LI
03:08:33
ok, thank you
Ho Renee TIN
03:12:14
connection is not quite good?
Ho Renee TIN
03:12:19
only me?
Ka Lung CHAN
03:12:25
ok for me
Ho Renee TIN
03:12:43
maybe it's my problem
Ka Lung CHAN
03:15:41
YES
Ho Renee TIN
03:19:58
yes
Ka Lung CHAN
03:20:00
I know as I am old...
Ho Renee TIN
03:20:05
seldom use it
Ray JIN
03:20:06
In movies
Ka Lung CHAN
03:25:43
can see
Ho Renee TIN
03:25:43
no lagging now
Ho Renee TIN
03:26:18
butterworth seems not smooth out the image that much
Ho Renee TIN
03:27:35
ok
Timothy
03:27:52
gaussian filtering makes the image blurry?
Timothy
03:28:10
butterworth seems make the image sharp
Timothy
03:29:11
thank you
Ka Lung CHAN
03:35:00
YES
Chen CHEN
03:35:05
yes
James Tung
03:46:22
yes
Ka Lung CHAN
03:46:22
yes
Ho Renee TIN
03:46:27
ok
Ka Lung CHAN
03:48:20
YES
James Tung
03:48:21
yes
Ho Renee TIN
03:49:18
convolution
Chen CHEN
03:49:18
yes
Ho Renee TIN
03:54:19
interesting!
James Tung
03:54:21
yes
Ka Lung CHAN
03:54:21
YES
Ka Lung CHAN
03:54:58
Thank you
Ronald LUI
03:54:58
Thank you for attending this lecture.
Ho Renee TIN
03:55:02
is there any noise besides the gaussian and white one?like for the camera, high ISO with give image with high noise (related to the optical sensor), do we classified it as white noise or other types of noise?
Chen CHEN
03:55:03
thank you
Ho Renee TIN
03:55:32
Thank you
Ka Lung CHAN
03:55:35
are there filter generated by sigmoid function?
Zhe CHEN
03:55:50
In assignment2 1(b), how to choice the two smallest entries if there are more than two smallest entries?
Zhe CHEN
03:56:21
All them?
Zhe CHEN
03:56:27
thanks
Yijun CHEN
03:56:41
when can i get hw1 solution?
Ho Renee TIN
03:56:43
Good night
Yijun CHEN
03:57:06
thank you
Ho Renee TIN
03:57:07
Could we have the email of the TA?
Ho Renee TIN
03:57:15
Thank you
Wing Suet CHU
03:57:22
good night
Daixi HONG
03:57:27
thank you
Timothy
03:57:28
goodbye