Image Coding For Chinese Character Patterns

Tsann-Shyong Liu; Bor-Shenn Jeng; Gan-How Chang; Rong-Hauh Ju

doi:10.1117/12.976486

13 October 1987 Image Coding For Chinese Character Patterns

Tsann-Shyong Liu, Bor-Shenn Jeng, Gan-How Chang, Rong-Hauh Ju

Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976486
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

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%.

Citation Download Citation

Tsann-Shyong Liu, Bor-Shenn Jeng, Gan-How Chang, and Rong-Hauh Ju "Image Coding For Chinese Character Patterns", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976486

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