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Why image is more blurred through PIL?

0

$begingroup$

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 34 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
  28 mins ago
  

  
  
  
  

add a comment | 

0

$begingroup$

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 34 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
  28 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

share|improve this question

asked 34 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.

$endgroup$

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 34 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.

share|improve this question

asked 34 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 34 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 34 mins ago

Arohan AjitArohan Ajit

11

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 22 mins ago

Shamit VermaShamit Verma

1,2491212

$endgroup$

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 22 mins ago

Shamit VermaShamit Verma

1,2491212

$endgroup$

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 22 mins 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

share|improve this answer

answered 22 mins ago

Shamit VermaShamit Verma

1,2491212

$endgroup$

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

share|improve this answer

answered 22 mins ago

Shamit VermaShamit Verma

1,2491212

answered 22 mins ago

Shamit VermaShamit Verma

1,2491212

answered 22 mins ago

Shamit VermaShamit Verma

1,2491212