This paper presents a new media integration platform based on super high definition (SHD) digital images and a high performance image processing system that adopts parallel digital processing. The new platform will encourage the integration of all existing media to realize rich and realistic visual communication over B-ISDN. SHD images have a resolution of more than 2048 X 2048 pixels and the frame rate is more than 60 frames/sec. To achieve the real-time compression of SHD moving images, parallel signal processing systems with a peak performance of 0.5 Tera Flops will be necessary. The specification requirements, focusing on the digital signal processing systems needed to achieve SHD image communication, are discussed.
KEYWORDS: Image processing, Personal digital assistants, Visual communications, Digital signal processing, Signal processing, Image compression, Fermium, Frequency modulation, Telecommunications, Parallel processing
This paper describes a new parallel image processing system called "NOVI-II HiPIPE" that manipulates super high definition (SHD) images. This system consists of 128 processing nodes, 4 I/O nodes for image storage, and 4 I/O nodes for SHD still image display. It provides extremely high computational power and high throughput rates for SHD image processing. This system can transfer image data to the newly developed Super Frame Memory (Super FM) for SHD moving image display via the Ultra-network. A new Vector Processor (VP), which has a peak performance of 100 MFlops, is developed and the performance of an engineering sample version of this chip is checked. One VP will be installed in each processing node as the DSP engine and a total system performance of 12.8 Gflops (peak performance) is expected from NOVI-II HiPIPE. Using this system, various image coding schemes and computer graphics techniques can be easily explored in spite of the huge amount of data that must be treated.
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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