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Proceedings Paper

Source coding of super high definition images with discrete cosine transform
Author(s): Mitsuru Nomura; Tetsuro Fujii; Naohisa Ohta
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Paper 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 2048x2048 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.

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24270
Show Author Affiliations
Mitsuru Nomura, NTT Transmission Systems Labs. (Japan)
Tetsuro Fujii, NTT Transmission Systems Labs. (Japan)
Naohisa Ohta, NTT Transmission Systems Labs. (Japan)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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