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Proceedings Paper

Lossless coding method for black-ink signals of high-quality printing images
Author(s): Shigeo Kato; Muling Guo; Madoka Hasegawa
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Paper Abstract

Digital color images in the printing fields are usually extra high quality images, which have many gray levels and high resolution. In order to transmit and store such images efficiently, it is needed to introduce the compression techniques. Printing color images are usually represented by 4-primary colors, such as the Cyan, the Magenta, the Yellow and the Black (Black-Ink) signals. The black signal is, however, quite different from the other three primary color signals in statistical characteristics. Such specific characteristics should be used to compress the black signals of the printing color images. In this paper, we propose a new coding scheme for the black signals of printing color images. In the proposed scheme, first, eight prediction functions including those used in JPEG spatial mode are applied for three primary color signals except the Black one. Secondly, a suitable prediction function is selected from the eight prediction functions by calculating the summation of absolute prediction errors of three primary color signals, and searching the minimum summation among the eight prediction functions. Finally, prediction errors are separately encoded by contexts of reference pixels. Simulation results show that the proposed scheme has high compression ratio for the black- ink signals.

Paper Details

Date Published: 28 December 1998
PDF: 8 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334613
Show Author Affiliations
Shigeo Kato, Utsunomiya Univ. (Japan)
Muling Guo, Utsunomiya Univ. (Japan)
Madoka Hasegawa, Utsunomiya Univ. (Japan)

Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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