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Image Compression
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Nathaniel Callens
Image Compression
Commits
a8ba0e24
Commit
a8ba0e24
authored
Jan 20, 2022
by
Nathaniel Callens
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first try at histograms
parent
daedae5b
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3 changed files
with
25 additions
and
18 deletions
+25
-18
.DS_Store
.DS_Store
+0
-0
compress_start.py
compress_start.py
+25
-18
.DS_Store
images/.DS_Store
+0
-0
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.DS_Store
deleted
100644 → 0
View file @
daedae5b
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compress_start.py
View file @
a8ba0e24
...
...
@@ -66,28 +66,35 @@ if __name__ == '__main__':
tiff2
.
append
(
os
.
path
.
join
(
scene
,
s
))
elif
s
[
-
6
]
==
'3'
:
tiff3
.
append
(
os
.
path
.
join
(
scene
,
s
))
cameras
=
[
tiff0
,
tiff1
,
tiff2
,
tiff3
]
diff
=
[]
for
ii
in
range
(
len
(
tiff1
)):
image
=
Image
.
open
(
tiff1
[
ii
])
#Open the image and read it as an Image object
image
=
np
.
array
(
image
)[
1
:,:]
#Convert to an array, leaving out the first row because the first row is just housekeeping data
ar1
,
ar2
=
image
.
shape
ind1
,
ind2
=
np
.
random
.
randint
(
1
,
ar1
-
1
),
np
.
random
.
randint
(
1
,
ar2
-
1
)
#ind1 randomly selects a row, ind2 randomly selects a column,
#this is now a random pixel selection within the image
i
=
0
for
cam
in
cameras
:
for
ii
in
range
(
len
(
cam
)):
image
=
Image
.
open
(
cam
[
ii
])
#Open the image and read it as an Image object
image
=
np
.
array
(
image
)[
1
:,:]
#Convert to an array, leaving out the first row because the first row is just housekeeping data
ar1
,
ar2
=
image
.
shape
ind1
,
ind2
=
np
.
random
.
randint
(
1
,
ar1
-
1
),
np
.
random
.
randint
(
1
,
ar2
-
1
)
#ind1 randomly selects a row, ind2 randomly selects a column,
#this is now a random pixel selection within the image
surrounding
=
[]
#initialize a list to be filled the 8 surrounding pixels
for
i
,
j
in
product
(
np
.
arange
(
-
1
,
2
),
repeat
=
2
):
#Iterate through the combinations of surrounding pixel indices
if
i
==
0
and
j
==
0
:
#Avoid the target pixel
continue
else
:
surrounding
.
append
(
image
[
ind1
+
i
,
ind1
+
j
])
#Add the other 8 pixels to the list
diff
.
append
(
np
.
max
(
surrounding
)
-
np
.
min
(
surrounding
))
plt
.
subplot
(
2
,
2
,
i
+
1
)
plt
.
hist
(
diff
)
i
+=
1
plt
.
tight_layout
()
plt
.
show
()
surrounding
=
[]
#initialize a list to be filled the 8 surrounding pixels
for
i
,
j
in
product
(
np
.
arange
(
-
1
,
2
),
repeat
=
2
):
#Iterate through the combinations of surrounding pixel indices
if
i
==
0
and
j
==
0
:
#Avoid the target pixel
continue
else
:
surrounding
.
append
(
image
[
ind1
+
i
,
ind1
+
j
])
#Add the other 8 pixels to the list
diff
.
append
(
np
.
max
(
surrounding
)
-
np
.
min
(
surrounding
))
"""scene_names = file_extractor("images")
...
...
images/.DS_Store
deleted
100644 → 0
View file @
daedae5b
File deleted
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