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Proceedings Paper

Image Coding For Chinese Character Patterns
Author(s): Tsann-Shyong Liu; Bor-Shenn Jeng; Gan-How Chang; Rong-Hauh Ju
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Paper Abstract

Some noiseless data compression methods are introduced in this paper. By using these methods, we compress Chinese character patterns to save storage space. Since quality is very important for Chinese Character patterns, the patterns have to return to their original forms after decoding. Before coding, we first process the patterns by memorizing the changing points, rearranging pattern pixels and prediction function to improve the probability of some specific source symbols in analysis. After the preprocessing stated above, we use m*n subblock or run-length as the source symbol in Huffman coding and compare the results for each method. Our highest compression rate is 70%.

Paper Details

Date Published: 13 October 1987
PDF: 7 pages
Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); doi: 10.1117/12.976486
Show Author Affiliations
Tsann-Shyong Liu, Ministry Of Communications (Taiwan)
Bor-Shenn Jeng, Ministry Of Communications (Taiwan)
Gan-How Chang, Ministry Of Communications (Taiwan)
Rong-Hauh Ju, Ministry Of Communications (Taiwan)


Published in SPIE Proceedings Vol. 0845:
Visual Communications and Image Processing II
T. Russell Hsing, Editor(s)

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