Why image is more blurred through PIL?
$begingroup$
I was using PIL library to open an image and then convert it into array later on for DL operations. However I found out that image opened was blurry as opposed to the original image. Why is the image coming out the way it is? and what can be done to fix it? If a possible solution is present in OpenCV that'd be welcome as well.
I tried to use OpenCV as well but I was getting an Assertion Error i.e
error: OpenCV(3.4.3) /io/opencv/modules/imgproc/src/resize.cpp:4044: error: (-215:Assertion failed) !ssize.empty() in function 'resize'
Code:
from PIL import Image
import numpy as np
import pandas as pd
import os
import cv2
import keras
from keras.models import Sequential
from keras.layers import Conv2D,MaxPooling2D,Dense,Flatten,Dropout
import matplotlib.pyplot as plt
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50))
print("image")
plot(image,count)
print("resize image")
plot(size_image,count)
Here is the code for plotting:
def plot(img,count):
w=10
h=10
fig=plt.figure(figsize=(8, 8))
img = np.random.randint(10, size=(h,w))
fig.add_subplot(rows, columns, count)
plt.imshow(img)
plt.show()
cnn opencv image-preprocessing
asked 12 mins ago
Arohan AjitArohan Ajit
11
New contributor
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
I was using PIL library to open an image and then convert it into array later on for DL operations. However I found out that image opened was blurry as opposed to the original image. Why is the image coming out the way it is? and what can be done to fix it? If a possible solution is present in OpenCV that'd be welcome as well.
I tried to use OpenCV as well but I was getting an Assertion Error i.e
error: OpenCV(3.4.3) /io/opencv/modules/imgproc/src/resize.cpp:4044: error: (-215:Assertion failed) !ssize.empty() in function 'resize'
Code:
from PIL import Image
import numpy as np
import pandas as pd
import os
import cv2
import keras
from keras.models import Sequential
from keras.layers import Conv2D,MaxPooling2D,Dense,Flatten,Dropout
import matplotlib.pyplot as plt
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50))
print("image")
plot(image,count)
print("resize image")
plot(size_image,count)
Here is the code for plotting:
def plot(img,count):
w=10
h=10
fig=plt.figure(figsize=(8, 8))
img = np.random.randint(10, size=(h,w))
fig.add_subplot(rows, columns, count)
plt.imshow(img)
plt.show()
cnn opencv image-preprocessing
asked 12 mins ago
Arohan AjitArohan Ajit
11
New contributor
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
6 mins ago
add a comment |
$begingroup$
I was using PIL library to open an image and then convert it into array later on for DL operations. However I found out that image opened was blurry as opposed to the original image. Why is the image coming out the way it is? and what can be done to fix it? If a possible solution is present in OpenCV that'd be welcome as well.
I tried to use OpenCV as well but I was getting an Assertion Error i.e
error: OpenCV(3.4.3) /io/opencv/modules/imgproc/src/resize.cpp:4044: error: (-215:Assertion failed) !ssize.empty() in function 'resize'
Code:
from PIL import Image
import numpy as np
import pandas as pd
import os
import cv2
import keras
from keras.models import Sequential
from keras.layers import Conv2D,MaxPooling2D,Dense,Flatten,Dropout
import matplotlib.pyplot as plt
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50))
print("image")
plot(image,count)
print("resize image")
plot(size_image,count)
Here is the code for plotting:
def plot(img,count):
w=10
h=10
fig=plt.figure(figsize=(8, 8))
img = np.random.randint(10, size=(h,w))
fig.add_subplot(rows, columns, count)
plt.imshow(img)
plt.show()
cnn opencv image-preprocessing
asked 12 mins ago
Arohan AjitArohan Ajit
11
New contributor
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I was using PIL library to open an image and then convert it into array later on for DL operations. However I found out that image opened was blurry as opposed to the original image. Why is the image coming out the way it is? and what can be done to fix it? If a possible solution is present in OpenCV that'd be welcome as well.
I tried to use OpenCV as well but I was getting an Assertion Error i.e
error: OpenCV(3.4.3) /io/opencv/modules/imgproc/src/resize.cpp:4044: error: (-215:Assertion failed) !ssize.empty() in function 'resize'
Code:
from PIL import Image
import numpy as np
import pandas as pd
import os
import cv2
import keras
from keras.models import Sequential
from keras.layers import Conv2D,MaxPooling2D,Dense,Flatten,Dropout
import matplotlib.pyplot as plt
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50))
print("image")
plot(image,count)
print("resize image")
plot(size_image,count)
Here is the code for plotting:
def plot(img,count):
w=10
h=10
fig=plt.figure(figsize=(8, 8))
img = np.random.randint(10, size=(h,w))
fig.add_subplot(rows, columns, count)
plt.imshow(img)
plt.show()
cnn opencv image-preprocessing
cnn opencv image-preprocessing
asked 12 mins ago
Arohan AjitArohan Ajit
11
New contributor
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 12 mins ago
Arohan AjitArohan Ajit
11
New contributor
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 12 mins ago
Arohan AjitArohan Ajit
11
New contributor
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 12 mins ago
Arohan AjitArohan Ajit
11
asked 12 mins ago
Arohan AjitArohan Ajit
11
11
New contributor
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Arohan Ajit is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
6 mins ago
add a comment |
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
6 mins ago
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
6 mins ago
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
6 mins ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Try specifying the resampling filter. Default filter (Nearest Neighbor) is fast but results are not as good.
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50),PIL.Image.LANCZOS)
Documentation : https://pillow.readthedocs.io/en/latest/reference/Image.html
https://pillow.readthedocs.io/en/latest/handbook/concepts.html#concept-filters
answered 1 min ago
Shamit VermaShamit Verma
1,2491212
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add a comment |
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1 Answer
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1 Answer
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oldest
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votes
$begingroup$
Try specifying the resampling filter. Default filter (Nearest Neighbor) is fast but results are not as good.
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50),PIL.Image.LANCZOS)
Documentation : https://pillow.readthedocs.io/en/latest/reference/Image.html
https://pillow.readthedocs.io/en/latest/handbook/concepts.html#concept-filters
answered 1 min ago
Shamit VermaShamit Verma
1,2491212
$endgroup$
add a comment |
$begingroup$
Try specifying the resampling filter. Default filter (Nearest Neighbor) is fast but results are not as good.
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50),PIL.Image.LANCZOS)
Documentation : https://pillow.readthedocs.io/en/latest/reference/Image.html
https://pillow.readthedocs.io/en/latest/handbook/concepts.html#concept-filters
answered 1 min ago
Shamit VermaShamit Verma
1,2491212
$endgroup$
add a comment |
$begingroup$
Try specifying the resampling filter. Default filter (Nearest Neighbor) is fast but results are not as good.
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50),PIL.Image.LANCZOS)
Documentation : https://pillow.readthedocs.io/en/latest/reference/Image.html
https://pillow.readthedocs.io/en/latest/handbook/concepts.html#concept-filters
answered 1 min ago
Shamit VermaShamit Verma
1,2491212
$endgroup$
Try specifying the resampling filter. Default filter (Nearest Neighbor) is fast but results are not as good.
image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50),PIL.Image.LANCZOS)
Documentation : https://pillow.readthedocs.io/en/latest/reference/Image.html
https://pillow.readthedocs.io/en/latest/handbook/concepts.html#concept-filters
answered 1 min ago
Shamit VermaShamit Verma
1,2491212
answered 1 min ago
Shamit VermaShamit Verma
1,2491212
answered 1 min ago
Shamit VermaShamit Verma
1,2491212
answered 1 min ago
Shamit VermaShamit Verma
1,2491212
1,2491212
add a comment |
add a comment |
Arohan Ajit is a new contributor. Be nice, and check out our Code of Conduct.
Arohan Ajit is a new contributor. Be nice, and check out our Code of Conduct.
Arohan Ajit is a new contributor. Be nice, and check out our Code of Conduct.
Arohan Ajit is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
6 mins ago