Bit plane slicing

To highlight the contribution made to the total image appearance by specific bits.i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes.Useful for analyzing the relative importance played by each bit of the image.

1. Digital Image Processing Bit Plane Slicing Asad Ali. From BCS 6 th 3395

2. Bit Plane Slicing To highlight the contribution made to the total image appearance by specific bits.

3. Bit Plane Slicing To highlight the contribution made to the total image appearance by specific bits. – i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes.

4. Bit Plane Slicing To highlight the contribution made to the total image appearance by specific bits. – i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes. – Plane 1 contains the least significant bit and plane 8 contains the most significant bit.

5. Bit Plane Slicing To highlight the contribution made to the total image appearance by specific bits. – i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes. – Plane 1 contains the least significant bit and plane 8 contains the most significant bit. – Useful for analyzing the relative importance played by each bit of the image

6. Bit Plane Slicing To highlight the contribution made to the total image appearance by specific bits. – i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes. – Plane 1 contains the least significant bit and plane 8 contains the most significant bit. – Useful for analyzing the relative importance played by each bit of the image – Only the higher order bits (top four) contain visually significant data. The other bit planes contribute the more subtle details

7. Bit Plane Slicing To highlight the contribution made to the total image appearance by specific bits. – i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes. – Plane 1 contains the least significant bit and plane 8 contains the most significant bit. – Useful for analyzing the relative importance played by each bit of the image – Only the higher order bits (top four) contain visually significant data. The other bit planes contribute the more subtle details – Plane 8 corresponds exactly with an image thresholded at gray level 128

8. Bit Plane Slicing To highlight the contribution made to the total image appearance by specific bits. – i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes. – Plane 1 contains the least significant bit and plane 8 contains the most significant bit. – Useful for analyzing the relative importance played by each bit of the image – Only the higher order bits (top four) contain visually significant data. The other bit planes contribute the more subtle details – Plane 8 corresponds exactly with an image thresholded at gray level 128

9. Bit Plane Slicing

10. Bit Plane Slicing

11. Bit Plane Slicing