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JBIG2Joint Bilevel Image Experts Group
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Table I shows that the transmission energy consumption is highest for transmitting segmented images and is lowest for JBIG2 compression.
Contrary to Table I, the total energy consumption of JBIG2 is high compared to Group 4 and Gzip_Pack and the reason for this is the high compression time.
Though the compression efficiency of JBIG2 is the highest but due to its long compression time, the total energy consumption is high.
recurring symbols, for which JBIG or JBIG2 obtain better performances, as mentioned above.
In both solutions, JBIG2 was used for mask compression.
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.
Snowbound's JBIG2 plug-in delivers compression rates of up to 100:1 compared to an uncompressed B&W image and up to 7:1 over TIFF Group 4.
Unlike many other JBIG2 solutions that have JBIG2 headers but use JBIG compression, Snowbound's implementation takes full advantage of the standard by using symbol recognition and substitution technology.
Our ability to embed JBIG2 within a PDF greatly compresses the original file to a more manageable size that can be viewed by virtually anyone with Adobe Acrobat, thereby eliminating the concerns associated with proprietary files.
Key ISO compliant imaging technology includes JBIG2, JPEG2000, MJPEG2000 and MRC (JPEG2000 Part6).
Applications the company develops utilize JBIG2, JPEG2000 and MRC ISO/ITU compliant compression technologies.