Feature Description

LEADTOOLS completely supports JBIG and JBIG2 compression and decompression for bitonal, grayscale, and color image data. Additionally, LEADTOOLS supports multi-resolution JBIG technology that stores multiple resolutions of the image data without any extra storage overhead.

JBIG and JBIG2 offer outstanding compression ratios for all bit depths, but is an exceptional choice for 1-bit (bitonal) images, outperforming both LZW and TIFF CCITT Group 4.

Overview of LEADTOOLS JBIG and JBIG2 Image Compression SDK Technology

JBIG Functional Blocks

To achieve the highest compression ratios possible, LEADTOOLS takes full advantage of all the functional blocks of the JBIG compression standard:

Specialized JBIG2 Features: Sequential and Random-access

LEADTOOLS supports sequential and random-access JBIG2, including the various JBIG2 flavors of text and generic region encoding and decoding procedures based on sequential coding of the image pixels using arithmetic coding. Saving images as JBIG2 results in smaller image file sizes when compared to other industry-standard compressed formats such as JBIG, CCITT G3, and G4. JBIG2 can compress bitonal images 2 to 5 times better than the same image compressed with CCITT G4 compression.

JBIG Defined:

JBIG is an acronym for 'Joint Bi-level Image experts Group' and is a raster file format created by ISO/IEC 14492. JBIG is an industry standard lossless and lossy compressed file format for image data. The Joint Bi-level Image experts Group was a group of experts nominated by national standards bodies and major companies to produce standards for bi-level image coding. The JBIG group has developed the IS 11544 (ITU-T T.82) standard for the lossless compression of a bi-level image. JBIG can also be used for coding grayscale and color images with limited numbers of bits per pixel. JBIG but offers between 20% and 80% improvement in compression over Group 3 and Group 4 CCITT. JBIG compression averages about a 20:1 over the original uncompressed image.

Technology Related to JBIG and JBIG2 Image Compression