Bit plane slicing in python

1. How to do bit plane slicing in Python?
2. What is bit plane slicing?
3. Why do we use bit plane slicing?
4. What is bit plane in digital image processing?

How to do bit plane slicing in Python?

In Bit-plane slicing, we divide the image into bit planes. This is done by first converting the pixel values in the binary form and then dividing it into bit planes. Let's see by an example. For simplicity let's take a 3×3, 3-bit image as shown below.

What is bit plane slicing?

Bit plane slicing is a method of representing an image with one or more bits of the byte used for each pixel. One can use only MSB to represent the pixel, which reduces the original gray level to a binary image. The three main goals of bit plane slicing is: Converting a gray level image to a binary image.

Why do we use bit plane slicing?

Bit Plane Slicing (BPS) is a method of expressing an image in which each pixel is represented by one or more bits of the byte. To incorporate hidden data in any slice of eight slices, the BPS approach requires a bit slicing algorithm. Each pixel is represented by 8 bits in this approach.

What is bit plane in digital image processing?

A bit plane of a digital discrete signal (such as image or sound) is a set of bits corresponding to a given bit position in each of the binary numbers representing the signal.