Source coding of super high definition images with discrete cosine transform

Mitsuru Nomura; Tetsuro Fujii; Naohisa Ohta

doi:10.1117/12.24270

1 September 1990 Source coding of super high definition images with discrete cosine transform

Mitsuru Nomura, Tetsuro Fujii, Naohisa Ohta

Author Affiliations +

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24270
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

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.

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Mitsuru Nomura, Tetsuro Fujii, and Naohisa Ohta "Source coding of super high definition images with discrete cosine transform", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24270

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