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sanjay-kv
Is there an existing issue for this?
Feature Description
This code performs bit-plane slicing on an image, a technique that decomposes an image into its binary components. Here’s a step-by-step explanation:
Loading and Displaying the Image: The image (baboon.tiff) is loaded in grayscale, then displayed with the title "Baboon."
Bit-Plane Slicing: The code creates 8 separate "bit planes" for the image, where each plane corresponds to one bit of each pixel's intensity value. Each bit plane is extracted by performing a bitwise AND operation between the image and (1 << i), which shifts a binary 1 to the i-th position (from the least significant to the most significant bit). These bit planes are stored in the list bit.
Displaying Bit Planes: The code then visualizes each of the 8 bit planes, from the least significant bit (plane 0) to the most significant bit (plane 7), using matplotlib's subplot functionality.
Use Case
Bit-plane slicing is used to analyze and process specific parts of an image’s information:
Image Compression: Less significant bit planes (lower bits) often contain noise or minor details and can be discarded in lossy compression methods to save space. Image Analysis: The higher bit planes contain the most significant visual details. Analyzing these planes can be useful in applications like object recognition, where minor details are less important. Watermarking and Steganography: Data can be hidden in the lower bit planes of an image, making it suitable for digital watermarking and steganography.
Benefits
@sanjay-kv Sir please Assign this to me. I want to add this under Open CV project.
Add ScreenShots
Priority
High
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