Bit rate reduction of vector representation of binary images

Yuki Yamamoto, Kei Kawamura, Hiroshi Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Vector representation of binary images has an advantage of keeping high image quality for arbitrary scaling as well as editing capability of an object. However, the vector representation suffers from low compression efficiency compared with JBIG. In this paper, we show the main cause reducing coding efficiency and propose two methods to improve it. The proposed methods can reduce the file size of a binary image up to about 30-40 percent.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages3105-3108
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: 2006 Oct 82006 Oct 11

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2006 IEEE International Conference on Image Processing, ICIP 2006
CountryUnited States
CityAtlanta, GA
Period06/10/806/10/11

Keywords

  • Binary image
  • Image coding
  • Image quality
  • Noise reduction
  • Vectorization

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Yamamoto, Y., Kawamura, K., & Watanabe, H. (2006). Bit rate reduction of vector representation of binary images. In 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings (pp. 3105-3108). [4107227] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2006.313097