Why image is more blurred through PIL? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsWhy do pre-trained CNNs use low image resolution?Image processing algorithmUniformity of color and texture in an imageCalculate image widthGenerating image embedding using CNNImage Matching for similar productsOptimisation of Image classifier CNNCrop all written letters from image to form a websiteWhy does TensorFlow convert my decoded image to float32 instead of uint8/16?
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Why image is more blurred through PIL?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhy do pre-trained CNNs use low image resolution?Image processing algorithmUniformity of color and texture in an imageCalculate image widthGenerating image embedding using CNNImage Matching for similar productsOptimisation of Image classifier CNNCrop all written letters from image to form a websiteWhy does TensorFlow convert my decoded image to float32 instead of uint8/16?
$begingroup$
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 Apr 4 at 5:31
Arohan AjitArohan Ajit
112
$endgroup$
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 Apr 4 at 5:31
Arohan AjitArohan Ajit
112
$endgroup$
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
Apr 4 at 5:37
$begingroup$
Are you redefining the img as a random numpy array before plotting?
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:59
$begingroup$
Nope, as you can see in code, I just read it from PIL read function and then directly plotted it. I am not converting it into array format
$endgroup$
– Arohan Ajit
Apr 5 at 6:09
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 Apr 4 at 5:31
Arohan AjitArohan Ajit
112
$endgroup$
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 Apr 4 at 5:31
Arohan AjitArohan Ajit
112
asked Apr 4 at 5:31
Arohan AjitArohan Ajit
112
asked Apr 4 at 5:31
Arohan AjitArohan Ajit
112
asked Apr 4 at 5:31
Arohan AjitArohan Ajit
112
asked Apr 4 at 5:31
Arohan AjitArohan Ajit
112
112
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
Apr 4 at 5:37
$begingroup$
Are you redefining the img as a random numpy array before plotting?
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:59
$begingroup$
Nope, as you can see in code, I just read it from PIL read function and then directly plotted it. I am not converting it into array format
$endgroup$
– Arohan Ajit
Apr 5 at 6:09
add a comment |
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
Apr 4 at 5:37
$begingroup$
Are you redefining the img as a random numpy array before plotting?
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:59
$begingroup$
Nope, as you can see in code, I just read it from PIL read function and then directly plotted it. I am not converting it into array format
$endgroup$
– Arohan Ajit
Apr 5 at 6:09
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
Apr 4 at 5:37
$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
Apr 4 at 5:37
$begingroup$
Are you redefining the img as a random numpy array before plotting?
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:59
$begingroup$
Are you redefining the img as a random numpy array before plotting?
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:59
$begingroup$
Nope, as you can see in code, I just read it from PIL read function and then directly plotted it. I am not converting it into array format
$endgroup$
– Arohan Ajit
Apr 5 at 6:09
$begingroup$
Nope, as you can see in code, I just read it from PIL read function and then directly plotted it. I am not converting it into array format
$endgroup$
– Arohan Ajit
Apr 5 at 6:09
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 Apr 4 at 5:43
Shamit VermaShamit Verma
1,6391414
$endgroup$
1
$begingroup$
Still, Nearest Neighbor does not wield blurred image. It is actually causes a aliasing-like effect which can be solved by blurring
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:56
$begingroup$
Actually I was looking into various kernels for this dataset, and what they did was read it using cv2.imread and then converting it back into image format using image.from_array. I plotted that as well and still same results.
$endgroup$
– Arohan Ajit
Apr 5 at 6:11
$begingroup$
For plotting, you are converting it to 10, 10 thumbnail. Is that intentional ?
$endgroup$
– Shamit Verma
Apr 5 at 7:12
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
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oldest
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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 Apr 4 at 5:43
Shamit VermaShamit Verma
1,6391414
$endgroup$
1
$begingroup$
Still, Nearest Neighbor does not wield blurred image. It is actually causes a aliasing-like effect which can be solved by blurring
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:56
$begingroup$
Actually I was looking into various kernels for this dataset, and what they did was read it using cv2.imread and then converting it back into image format using image.from_array. I plotted that as well and still same results.
$endgroup$
– Arohan Ajit
Apr 5 at 6:11
$begingroup$
For plotting, you are converting it to 10, 10 thumbnail. Is that intentional ?
$endgroup$
– Shamit Verma
Apr 5 at 7:12
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 Apr 4 at 5:43
Shamit VermaShamit Verma
1,6391414
$endgroup$
1
$begingroup$
Still, Nearest Neighbor does not wield blurred image. It is actually causes a aliasing-like effect which can be solved by blurring
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:56
$begingroup$
Actually I was looking into various kernels for this dataset, and what they did was read it using cv2.imread and then converting it back into image format using image.from_array. I plotted that as well and still same results.
$endgroup$
– Arohan Ajit
Apr 5 at 6:11
$begingroup$
For plotting, you are converting it to 10, 10 thumbnail. Is that intentional ?
$endgroup$
– Shamit Verma
Apr 5 at 7:12
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 Apr 4 at 5:43
Shamit VermaShamit Verma
1,6391414
$endgroup$
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 Apr 4 at 5:43
Shamit VermaShamit Verma
1,6391414
answered Apr 4 at 5:43
Shamit VermaShamit Verma
1,6391414
answered Apr 4 at 5:43
Shamit VermaShamit Verma
1,6391414
answered Apr 4 at 5:43
Shamit VermaShamit Verma
1,6391414
1,6391414
1
$begingroup$
Still, Nearest Neighbor does not wield blurred image. It is actually causes a aliasing-like effect which can be solved by blurring
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:56
$begingroup$
Actually I was looking into various kernels for this dataset, and what they did was read it using cv2.imread and then converting it back into image format using image.from_array. I plotted that as well and still same results.
$endgroup$
– Arohan Ajit
Apr 5 at 6:11
$begingroup$
For plotting, you are converting it to 10, 10 thumbnail. Is that intentional ?
$endgroup$
– Shamit Verma
Apr 5 at 7:12
add a comment |
1
$begingroup$
Still, Nearest Neighbor does not wield blurred image. It is actually causes a aliasing-like effect which can be solved by blurring
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:56
$begingroup$
Actually I was looking into various kernels for this dataset, and what they did was read it using cv2.imread and then converting it back into image format using image.from_array. I plotted that as well and still same results.
$endgroup$
– Arohan Ajit
Apr 5 at 6:11
$begingroup$
For plotting, you are converting it to 10, 10 thumbnail. Is that intentional ?
$endgroup$
– Shamit Verma
Apr 5 at 7:12
1
1
$begingroup$
Still, Nearest Neighbor does not wield blurred image. It is actually causes a aliasing-like effect which can be solved by blurring
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:56
$begingroup$
Still, Nearest Neighbor does not wield blurred image. It is actually causes a aliasing-like effect which can be solved by blurring
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:56
$begingroup$
Actually I was looking into various kernels for this dataset, and what they did was read it using cv2.imread and then converting it back into image format using image.from_array. I plotted that as well and still same results.
$endgroup$
– Arohan Ajit
Apr 5 at 6:11
$begingroup$
Actually I was looking into various kernels for this dataset, and what they did was read it using cv2.imread and then converting it back into image format using image.from_array. I plotted that as well and still same results.
$endgroup$
– Arohan Ajit
Apr 5 at 6:11
$begingroup$
For plotting, you are converting it to 10, 10 thumbnail. Is that intentional ?
$endgroup$
– Shamit Verma
Apr 5 at 7:12
$begingroup$
For plotting, you are converting it to 10, 10 thumbnail. Is that intentional ?
$endgroup$
– Shamit Verma
Apr 5 at 7:12
add a comment |
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$begingroup$
Is PIL's version current ? PIL changed default options for resize.
$endgroup$
– Shamit Verma
Apr 4 at 5:37
$begingroup$
Are you redefining the img as a random numpy array before plotting?
$endgroup$
– Pedro Henrique Monforte
Apr 4 at 11:59
$begingroup$
Nope, as you can see in code, I just read it from PIL read function and then directly plotted it. I am not converting it into array format
$endgroup$
– Arohan Ajit
Apr 5 at 6:09