What is the best way to store 100 binary images in one file?

Is there a Python library that can handle saving 100 binary images of type .bmp into a single file, and then later reading each image from that file individually?

If such a library does not exist, my alternative plan is to read all 100 binary images, store them in an array in Python, and save that array into a file named 100_images.format.

I am curious about the most efficient format for saving this file since all images are binary with dimensions of 32 by 32 pixels.

One approach I am considering is organizing the 100 images into an array structure like this:

array index
0             0 or 1 for if pixel at (0, 0) in image 1 is white(0) or black(1)
1             0 or 1 for if pixel at (0, 1) in image 1 is white(0) or black(1)
...
1023          0 or 1 for if pixel at (31, 31) in image 1 is white(0) or black(1)
1024          0 or 1 for if pixel at (0, 0) in image 2 is white(0) or black(1)
...

The challenge here lies in deciding what type of file to create. When writing the code to process these images, I envision something like this:

binary_images_manager = new BinaryImagesManager('100_images.format')

for i in range(number_of_images_to_process):
    int[][] binary_image = binary_images_manager.readImage(i)

Answer №1

To streamline the data, I recommend utilizing run-length encoding. Check out this informative link for more details: https://en.wikipedia.org/wiki/Run-length_encoding

If you're working in Python, consider implementing one of the available solutions here:

Here's a breakdown of how to encode the data:

  1. Flatten each image matrix using np.flatten method
  2. Apply the run-length encoding to the image
  3. Store the code in a list
  4. Once all images are encoded, save the list using pickle

For decoding the data, follow these steps:

  1. Unpickle the stored list
  2. Decode the run length code for each item in the list
  3. Reshape the resulting vector to regain the original matrix shape

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