Source coding of super high definition images with Discrete Cosine Transform

Mitsuru Nomura, Tetsurou Fujii, Naohisa Ohta

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

Abstract

This paper discusses the bit-rate compression of super high definition images with Discrete Cosine Transform (DCT). Super high definition images with more than 2048×2048 pixels of resolution are introduced as the next generation image category beyond HDTV. In order to develop bit-rate reduction algorithms, an image I/O system for super high definition still images is assembled. A traditional DCT based coding algorithm called Scene Adaptive Coder (SAC) is applied to super high definition images and related problems are clarified. A new coding algorithm is proposed, which takes human visual perception characteristics into consideration, and its coding performance is examined for super high definition images.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsMurat Kunt
PublisherPubl by Int Soc for Optical Engineering
Pages814-825
Number of pages12
ISBN (Print)0819404217
Publication statusPublished - 1990 Dec 1
EventVisual Communications and Image Processing '90 - Lausanne, Switz
Duration: 1990 Oct 11990 Oct 4

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1360 pt 2
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '90
CityLausanne, Switz
Period90/10/190/10/4

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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