binary image

(redirected from Bi-level image)

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.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
Mentioned in ?
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.
Therefore, not only the edge information, but also the salt-and-pepper noise can be incurred in the bi-level image g (in (11)) as well.
That is, we check the number of 1s of the eight neighbors of x in the bi-level image g (Figure 2).
As we are using the first derivative for edge detection of an image, some of the isolated pixels can be regarded as around an edge which results in salt- and pepper noise in the bi-level image (10), for example, in the bottom of Figure 4(c).
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.
These algorithms have been chosen because they are quite recent and have been developed with the specific purpose of improving (and even replacing) older compression schemes for continuous-tone images and bi-level images respectively.