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Why image is more blurred through PIL?

2

$begingroup$

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

share|improve this question

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 | 

2

$begingroup$

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

share|improve this question

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

share|improve this question

asked Apr 4 at 5:31

Arohan AjitArohan Ajit

112

$endgroup$

error: OpenCV(3.4.3) /io/opencv/modules/imgproc/src/resize.cpp:4044: error: (-215:Assertion failed) !ssize.empty() in function 'resize'

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)

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()

share|improve this question

asked Apr 4 at 5:31

Arohan AjitArohan Ajit

112

share|improve this question

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

1 Answer
1

active

oldest

votes

0

$begingroup$

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

share|improve this answer

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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0

$begingroup$

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

share|improve this answer

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 | 

0

$begingroup$

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

share|improve this answer

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

share|improve this answer

answered Apr 4 at 5:43

Shamit VermaShamit Verma

1,6391414

$endgroup$

image=Image.open("../content/cell_images/Parasitized/"+i)
size_image = image.resize((50, 50),PIL.Image.LANCZOS)

share|improve this answer

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