Improved Angle Freeman Chain Code Using Improved Adaptive Arithmetic Coding

Binary image is useful in our life. For instance, text, line art, halftone image, tax etc. could use this method, so lossless binary image compression is useful for improve this domain. We found that angle freeman chain code for eight connectivity (AF8) is effective in lossless binary image compress...

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Published in:2020 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) pp. 181 - 184
Main Authors: Wu, Ji-Ting, Ding, Jian-Jiun
Format: Conference Proceeding
Language:English
Published: IEEE 08.12.2020
Subjects:
adaptive arithmetic coding
Context modeling
entropy coding
Frequency conversion
Image coding
image compression
Probability distribution
Streaming media
Time-frequency analysis
Turning
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Abstract Binary image is useful in our life. For instance, text, line art, halftone image, tax etc. could use this method, so lossless binary image compression is useful for improve this domain. We found that angle freeman chain code for eight connectivity (AF8) is effective in lossless binary image compression. Therefore, we use improved-adaptive-arithmetic-coding to encode character of AF8, and we also decrease character with global and local frequency table thanks to some characteristics of AF8 we found. Then, in experimental result, we show our proposed method is better than AF8 with static arithmetic coding (SAC), and we also show that the context modeling method we choose is better than the compression coding without context modeling. Furthermore, our method is also better than other method like the ZD code and the AAF8 code.
AbstractList Binary image is useful in our life. For instance, text, line art, halftone image, tax etc. could use this method, so lossless binary image compression is useful for improve this domain. We found that angle freeman chain code for eight connectivity (AF8) is effective in lossless binary image compression. Therefore, we use improved-adaptive-arithmetic-coding to encode character of AF8, and we also decrease character with global and local frequency table thanks to some characteristics of AF8 we found. Then, in experimental result, we show our proposed method is better than AF8 with static arithmetic coding (SAC), and we also show that the context modeling method we choose is better than the compression coding without context modeling. Furthermore, our method is also better than other method like the ZD code and the AAF8 code.
Author Wu, Ji-Ting
Ding, Jian-Jiun
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  givenname: Jian-Jiun
  surname: Ding
  fullname: Ding, Jian-Jiun
  email: jjding@ntu.edu.tw
  organization: National Taiwan University,Graduate Institute of Communication Engineering,Taipei,Taiwan
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Snippet Binary image is useful in our life. For instance, text, line art, halftone image, tax etc. could use this method, so lossless binary image compression is...
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StartPage 181
SubjectTerms adaptive arithmetic coding
Context modeling
entropy coding
Frequency conversion
Image coding
image compression
Probability distribution
Streaming media
Time-frequency analysis
Turning
Title Improved Angle Freeman Chain Code Using Improved Adaptive Arithmetic Coding
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