Working with Images in Python

PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. It was developed by Fredrik Lundh and several other contributors. Pillow is the friendly PIL fork and an easy to use library developed by Alex Clark and other contributors. We’ll be working with Pillow.

Installation:

• Linux: On linux terminal type the following:

  pip install Pillow

  Installing pip via terminal:

  sudo apt-get update
  sudo apt-get install python-pip

• Windows: Download the appropriate Pillow package according to your python version. Make sure to download according to the python version you have.

We’ll be working with the Image Module here which provides a class of the same name and provides a lot of functions to work on our images.To import the Image module, our code should begin with the following line:

 from PIL import Image

Operations with Images:

• Open a particular image from a path:

  #img  = Image.open(path)     
  # On successful execution of this statement,
  # an object of Image type is returned and stored in img variable)
   
  try: 
      img  = Image.open(path) 
  except IOError:
      pass
  # Use the above statement within try block, as it can 
  # raise an IOError if file cannot be found, 
  # or image cannot be opened.
  

• Retrieve size of image: The instances of Image class that are created have many attributes, one of its useful attribute is size.

  from PIL import Image
  
  filename = "image.png"
  with Image.open(filename) as image:
      width, height = image.size
  #Image.size gives a 2-tuple and the width, height can be obtained
  

  Some other attributes are: Image.width, Image.height, Image.format, Image.info etc.
• Save changes in image: To save any changes that you have made to the image file, we need to give path as well as image format.

  img.save(path, format)    
  # format is optional, if no format is specified, 
  #it is determined from the filename extension
  

• Rotating an Image: The image rotation needs angle as parameter to get the image rotated.

  from PIL import Image
  
  def main():
      try:
          #Relative Path
          img = Image.open("picture.jpg") 
          
          #Angle given
          img = img.rotate(180) 
          
           #Saved in the same relative location
          img.save("rotated_picture.jpg")
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  

  Note: There is an optional expand flag available as one of the argument of the rotate method, which if set true, expands the output image to make it large enough to hold the full rotated image. As seen in the above code snippet, I have used a relative path where my image is located in the same directory as my python code file, an absolute path can be used as well.
• Cropping an Image: Image.crop(box) takes a 4-tuple (left, upper, right, lower) pixel coordinate, and returns a rectangular region from the used image.

  from PIL import Image
  
  def main():
      try:
          #Relative Path
          img = Image.open("picture.jpg")
          width, height = img.size
          
          area = (0, 0, width/2, height/2)
          img = img.crop(area)
          
          #Saved in the same relative location
          img.save("cropped_picture.jpg") 
          
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  

  
• Resizing an Image: Image.resize(size)- Here size is provided as a 2-tuple width and height.

  from PIL import Image
  
  def main():
      try:
           #Relative Path
          img = Image.open("picture.jpg")
          width, height = img.size
   
          img = img.resize((width/2, height/2))
          
          #Saved in the same relative location
          img.save("resized_picture.jpg") 
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  

  
• Pasting an image on another image: The second argument can be a 2-tuple (specifying the top left corner), or a 4-tuple (left, upper, right, lower) – in this case the size of pasted image must match the size of this box region, or None which is equivalent to (0, 0).

  from PIL import Image
  
  def main():
      try:
          #Relative Path
          #Image on which we want to paste
          img = Image.open("picture.jpg") 
          
          #Relative Path
          #Image which we want to paste
          img2 = Image.open("picture2.jpg") 
          img.paste(img2, (50, 50))
          
          #Saved in the same relative location
          img.save("pasted_picture.jpg")
          
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  
  ##An additional argument for an optional image mask image is also available.
  

  
• Getting a Histogram of an Image: This will return a histogram of the image as a list of pixel counts, one for each pixel in the image. (A histogram of an image is a graphical representation of the tonal distribution in a digital image. It contains what all the brightness values contained in an image are. It plots the number of pixels for each brightness value. It helps in doing the exposure settings.) from PIL import Image

  def main():
      try:
          #Relative Path
          img = Image.open("picture.jpg") 
          
          #Getting histogram of image
          print img.histogram()
          
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  

  

  
  

• Transposing an Image: This feature gives us the mirror image of an image

      from PIL import Image
  
  def main():
      try:
          #Relative Path
          img = Image.open("picture.jpg") 
          
          #transposing image 
          transposed_img = img.transpose(Image.FLIP_LEFT_RIGHT)
          
          #Save transposed image
          transposed_img.save("transposed.jpg")
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  

  
• Split an image into individual bands: Splitting an image in RGB mode, creates three new images each containing a copy of the original individual bands.

  from PIL import Image
  
  def main():
      try:
          #Relative Path
          img = Image.open("picture.jpg") 
          
          #splitting the image
          print img.split()
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  

  
• tobitmap: Converting an image to an X11 bitmap (A plain text binary image format). It returns a string containing an X11 bitmap, it can only be used for mode “1” images, i.e. 1 bit pixel black and white images. from PIL import Image

  def main():
      try:
          #Relative Path
          img = Image.open("picture.jpg") 
          print img.mode
          
          #converting image to bitmap
          print img.tobitmap()
          
          print type(img.tobitmap())
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  

  
• Creating a thumbnail: This method creates a thumbnail of the image that is opened. It does not return a new image object, it makes in-place modification to the currently opened image object itself. If you do not want to change the original image object, create a copy and then apply this method. This method also evaluates the appropriate to maintain the aspect ratio of the image according to the size passed. from PIL import Image

  def main():
      try:
          #Relative Path
          img = Image.open("picture.jpg") 
          
          #In-place modification
          img.thumbnail((200, 200)) 
          
          img.save("thumb.jpg")
      except IOError:
          pass
  
  if __name__ == "__main__":
      main()
  

  

M

Mohit Agarwal

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Article Tags :

• Python

Practice Tags :

• python