Still image compression with mean-residual domain adaptive resolution vector quantization technique

Takahiro Nakayama, Masahiro Konda, Koji Takeuchi, Koji Kotani, Tadahiro Ohmi

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

Abstract

A novel image compression algorithm based on vector quantization (VQ) technique is proposed in this paper. Mean-residual domain adaptive resolution VQ method (AR-MVQ), which is composed of three key techniques, i.e., the resolution conversion, the block size alteration, and mean residual domain vector quantization (MVQ) can realize much superior compression performance than the worldwide standard JPEG and JPE02000. On the compression of the XGA (1024×768 pixels) natural images, AR-MVQ has realized a performance that is equal to the JPEG and the JPEG2000, Especially, the compression of the images including text exists an overwhelming performance superiority of 5 to 40 dB in compressed image quality.

Original languageEnglish
Title of host publicationImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Proceedings of the Sixth Biannual World Automation Cong
EditorsM. Jamshidi, Y. Hata, A. Kamrani, J.S. Jamshidi
Pages223-228
Number of pages6
Publication statusPublished - 2004 Dec 1
EventImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004 - Seville, Spain
Duration: 2004 Jun 262004 Jul 1

Publication series

NameImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - Proceedings of the Sixth Biannual World Automation Congress

Other

OtherImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004
CountrySpain
CitySeville
Period04/6/2604/7/1

Keywords

  • Adaptive resolution conversion
  • Codebook design
  • Mean-residual domain
  • Still image compression
  • Vector quantization

ASJC Scopus subject areas

  • Engineering(all)

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