As an example, in PCM sound encoding the first bit in the sample denotes the sign of the function, or in other words defines the half of the whole amplitude values range, and the last bit defines the precise value. Replacement of more significant bits result in more distortion than replacement of less significant bits. In lossy media compression that uses bit-planes it gives more freedom to encode less significant bit-planes and it is more critical to preserve the more significant ones.4
As illustrated in the image above, the early bitplanes, particularly the first, may have constant runs of bits, and thus can be efficiently encoded by run-length encoding. This is done (in the transform domain) in the Progressive Graphics File image format, for instance.
Some computers displayed graphics in bit-plane format, most notably PC with EGA graphics card, the Amiga and Atari ST, contrasting with the more common packed format. This allowed certain classes of image manipulation to be performed using bitwise operations (especially by a blitter chip), and parallax scrolling effects.
Some motion estimation algorithms can be performed using bit planes (e.g. after the application of a filter to turn salient edge features into binary values).5 This can sometimes provide a good enough approximation for correlation operations with minimal computational cost. This relies on an observation that the spatial information is more significant than the actual values. Convolutions may be reduced to bit shift and popcount operations, or performed in dedicated hardware.
Bitplane formats may be used for passing images to Spiking neural networks, or low precision approximations to neural networks/convolutional neural networks.6
Many image processing packages can split an image into bit-planes. Open source tools such as Pamarith from Netpbm and Convert from ImageMagick can be used to generate bit-planes.
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Cho, Chuan-Yu; Chen, Hong-Sheng; Wang, Jia-Shung (July 2006). "Smooth Quality Streaming With Bit-Plane Labelling". Visual Communications and Image Processing (abstract). Visual Communications and Image Processing 2005. 5690. The International Society for Optical Engineering: 2184–2195. Bibcode:2005SPIE.5960.2184C. doi:10.1117/12.633501. S2CID 62549171. /wiki/Bibcode_(identifier) ↩
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