Paper
19 January 2009 Novel context template design scheme for lossless color halftone image compression
Sung-Bum Park, Dai-Woong Choi, Jae-Won Yoon, Young-Ho Moon, Jong-Bum Choi, Woo-Sung Shim
Author Affiliations +
Proceedings Volume 7257, Visual Communications and Image Processing 2009; 72571Q (2009) https://doi.org/10.1117/12.806184
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
A novel template design algorithm is presented for lossless compression of color halftone images. First, we extract the line pattern in the neighbor local region of each bi-level pixel. Then, the representative line pattern is evaluated from these obtained lines, using the least square error minimization. According to the evaluated line pattern and two design constraints, therefore, the context template is shaped. With the designed template, finally, each color channel image is compressed by a context-based binary arithmetic encoder. Based on the adaptiveness of the template to the input image, the proposed templates yield better compression performance than the conventional JBIG templates, which saves 35% of the JBIG bitstream.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sung-Bum Park, Dai-Woong Choi, Jae-Won Yoon, Young-Ho Moon, Jong-Bum Choi, and Woo-Sung Shim "Novel context template design scheme for lossless color halftone image compression", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571Q (19 January 2009); https://doi.org/10.1117/12.806184
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KEYWORDS
Image compression

Halftones

Computer programming

Image segmentation

Binary data

Digital electronics

Electronics

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