Save image to file in Python

Save image to file in Python

Images are an integral part of Python programming. Python allows us to read and process images efficiently using different modules. We will discuss how to save image to file in Python using different ways.

Using the PIL module to save image to file in Python

The PIL module is used for storing, processing, and displaying images in Python. To save images, we can use the PIL.save() function. This function is used to export an image to an external file. But to use this function, first, we should have an object which contains an image.

We can set the format using the format parameter. If no format is specified, it takes the format specified in the filename.

See the code below.

In the above example,

  • We first read an image using the open() function.
  • This function creates an object img, which has the image data.
  • We export this image to a different external file using the save() function.
  • One should note that there are other methods also available to create image objects.

Using the opencv2 module to save image to file in Python

The opencv2 module is another fast image processing module in Python. It is considered to be a great asset for reading and transforming images, especially with neural network models.

The cv2 imwrite() function from this module can save an image to a file. It takes the image we want to save and the name and path of the final file as arguments.

For example,

Using the matplotlib module to save image to file in Python

The matplotlib module is one of the fundamental modules in Python. It can be used to read and save images, as well as create beautiful, statistical plots using different functionalities.

If we are dealing with a plot, then we can export it to an external file by saving the whole figure to a file. For this, we use the savefig() function.

The savefig() function can take a few parameters. We can specify the resolution using the dpi parameter. The transparent parameter can be used to set the background transparent. To control the size of the bounding box, we can use the bbox_inches parameter.

For example,

In the above example,

  • We created a simple plot using the plt() function.
  • We exported the final figure to the given path and filename using the savefig() function.

If we wish, we can read and export images using functionalities from matplotlib.image. The imread() function can be used to read images. The imsave() function can be used to export an image to a file. It can export arrays also as images.

See the code below.

This function can also accept different parameters.

  • The dpi parameters set the resolution of the final file.
  • We can specify the colormap using the cmap parameter.
  • The format parameter specifies the format of the final file.
  • The metadata of the image file can be specified using the metadata parameter.

Using the urllib module to save image to file in Python

Python allows us to read data from the web. We can read images also from their URL. The urllib.request.urlretrieve() function can be used to read files from their URL. We can specify the URL for the image and the path and filename of the file within the function.

For example,

Using the pickle module to save image to file in Python

The pickle module can be used to serialize and deserialize data in Python. We can write image data to an external file using the pickle.dump() function. This will serialize the image data.

This method is useful when we wish to quickly store image data and we need to work on its properties and settings.

See the code below.

In the above example, we first read the image using the PIL module. We then created a file object opening the required file in wb mode, which opens it in write mode for binary files. Finally, we use the dump() function to write this image data on the given file.

That’s all about how to save image to file in Python.


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