Evaluation of effective data reduction methods for MMR coding
Identifieur interne : 004D84 ( Main/Merge ); précédent : 004D83; suivant : 004D85Evaluation of effective data reduction methods for MMR coding
Auteurs : Yasuo KurosuSource :
- Systems and Computers in Japan [ 0882-1666 ] ; 1998-02.
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Abstract
To obtain higher speed and higher quality of image communications economically, a standard coding method with a higher efficiency is required. This paper proposes three methods to eliminate horizontal‐mode codes (which are mainly contained in noise components) from each coding process. The idea is based on the fact that MMR coding can be highly compressed by rising 2‐D correlations. The three proposed methods are compared in respect of compression rate, processing speed, and image quality by using document images. The results show that the run‐length code reduction method is best, the compression rate being higher than conventional methods by 19.6% (maximum) and 12.7% (mean), the processing speed being 2803 times that of conventional binary‐image processing, and the image quality being high due to noise elimination. © 1998 Scripta Technica. Syst Comp Jpn, 29(2): 9–18, 1998
Url:
DOI: 10.1002/(SICI)1520-684X(199802)29:2<9::AID-SCJ2>3.0.CO;2-N
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<front><div type="abstract" xml:lang="en">To obtain higher speed and higher quality of image communications economically, a standard coding method with a higher efficiency is required. This paper proposes three methods to eliminate horizontal‐mode codes (which are mainly contained in noise components) from each coding process. The idea is based on the fact that MMR coding can be highly compressed by rising 2‐D correlations. The three proposed methods are compared in respect of compression rate, processing speed, and image quality by using document images. The results show that the run‐length code reduction method is best, the compression rate being higher than conventional methods by 19.6% (maximum) and 12.7% (mean), the processing speed being 2803 times that of conventional binary‐image processing, and the image quality being high due to noise elimination. © 1998 Scripta Technica. Syst Comp Jpn, 29(2): 9–18, 1998</div>
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