binary image

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binary image

[′bīn·ə·rē ′im·ij]
(computer science)
A representation in a computer storage device of each of the holes in a punch card or paper tape (for example, by indicating the places where there are holes with a 1 and the places where there are no holes with a 0), to be differentiated from the characters represented by the combinations of holes.
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References in periodicals archive ?
Compressing the bi-level image after preprocessing and segmentation proves to be a decent alternative for achieving a general architecture for some applications of WVSN [12].
This section consists of the discussions related to the energy consumption and execution time of the three bi-level image coding methods.
O'Nils, "Selection of bi-level image compression method for reduction of communication energy in wireless visual sensor networks", in Proc.
Topics addressed in the technical sessions include lossless compression algorithms, source and multiple description coding, quantization theory, vector quantization, encoding with wavelets, bi-level image compression, and video and audio compression.
JBIG, short for Joint Bi-Level Image Group, is document compression technology developed by a national standards body.
These applications require support for video coders, speech coders, telephony middleware, JBIG standards (Joint Bi-Level Image Experts Group), MP3, software modem- and other DSP-intensive tasks in addition to supporting a real-time operating system, and system and network management tasks which are better served by a RISC processor.
Based on this generalized architecture, we explored the compression efficiency of the six bi-level image coding methods and presented the results in [7].
Bi-level image compression standards are helpful in reducing the information amount in the segmented images.
It is concluded in [7] that JBIG2, CCITT Group 4 and Gzip_pack provide better compression efficiency compared to other Bi-level image compression methods.
A number of lossless Bi-level image compression algorithms exist and some of them are the Ziv-Lempel algorithms [15], Efficient partitioning into rectangular regions [16], Arithmetic coding [17], CCITT Group 4 [9], JBIG2 [8] etc.
The OptiSys embedded controller design is targeted at color products up to 25 color pages per minute with standard bi-level image processing capability, as well as variable color processing at reduced speeds.