Reading and Writing RGB Values of Pixels in Python (Without External Libraries)

While obtaining pixel RGB values in Python typically involves utilizing external libraries such as OpenCV or scikit-image, it is possible to perform this operation directly using the Python Imaging Library (PIL) without additional downloads.

Retrieving RGB Values:

1. Open the image using PIL's Image.open() method:

   import PIL.Image as Image
   im = Image.open('image.jpg')

2. Load the image's pixel data into a pixel access object:

   pix = im.load()

3. Access individual pixel values using the pixel coordinates:

   print(pix[x, y])  # Outputs the RGB tuple of the pixel at (x, y)

Setting RGB Values:

1. Obtain a blank canvas (new image) using PIL's Image.new() method:

   new_im = Image.new('RGB', (width, height))

2. Load the new image's pixel access object:

   new_pix = new_im.load()

3. Set specific pixel values:

   new_pix[x, y] = (R, G, B)  # Sets the RGB tuple for the pixel at (x, y)

4. Save the modified image:

   new_im.save('output.jpg')

Note:

While this method does not require external libraries, it may have limitations in terms of functionality and image format support compared to dedicated image processing libraries. If more advanced operations are required, it is advisable to explore external libraries.