KEYWORDS: Video, Medical imaging, Video processing, Signal processing, Video compression, 3D image processing, Digital signal processing, Visualization, Image processing, 3D video compression
Media processors, with high-level programming languages, Application Programmer Interfaces (APIs) and rich media libraries, are capable of providing an effective solution for medical imaging products. Video, audio, 3D graphics, printing and communications functions become cost-effective by sharing one media processor. This paper includes an overview of media processors, their application including medical imaging uses, and projections for future media processors.
KEYWORDS: Signal processing, Image processing, Digital signal processing, Computing systems, Multimedia, Digital filtering, Image filtering, Binary data, Video, Imaging systems
The term multimedia implies the combination of many different forms of information including computer graphics, text, video and audio, along with data distribution mechanisms and storage systems that can provide such data with real time or interactive response [1]. Until recently, almost all systems were limited in their ability to manipulate video data.
KEYWORDS: Digital signal processing, Video, Video compression, Computer programming, Video processing, Multimedia, Video coding, Image compression, Computing systems, Computer architecture
We present a software implementation of a real-time MPEG video codec on the MediaStation 5000 multimedia system. Unlike other compression systems whose sole function is the encoding or decoding of video data, the MediaStation 5000 is capable of performing various real-time operations involving a wide range of multimedia data, including image, graphics, video, and even audio. This programmability is provided by Texas Instruments TMS320C80, better known as Multimedia Video Processor (MVP), which is a single-chip multiprocessing device with highly parallel internal architecture. The MVP integrates a RISC processor, four DSP-like processors, an intelligent DMA controller, video controllers, and a large amount of SRAMs onto a single chip. Since the MVP contains such a high degree of parallel features, developing the MPEG software and mapping it to the MVP requires a thorough study of the algorithms and a good understanding of the processor architecture. By exploiting the advanced features of the MVP, the MediaStation 5000 can achieve the MPEG compression and decompression of video sequences in real time.
KEYWORDS: Image processing, Visualization, Computer architecture, Digital image processing, 3D image processing, Video, Video processing, Imaging systems, Video compression, Digital signal processing
This paper will focus on the architectures of VLSI programmable processing components for image computing applications. TI, the maker of industry-leading RISC, DSP, and graphics components, has developed an architecture for a new-generation of image processors capable of implementing a plurality of image, graphics, video, and audio computing functions. We will show that the use of a single-chip heterogeneous MIMD parallel architecture best suits this class of processors--those which will dominate the desktop multimedia, document imaging, computer graphics, and visualization systems of this decade.
Although the computer industry has begun incorporating new features in their newest computers and workstations, it has not been clear how best to utilize these new media to improve the productivity of the user. One problem stems from relative separation of various disciplines. For example, three distinct disciplines have evolved from visual information processing: image processing, computer graphics, and pattern recognition. All of them manipulate image data in some ways. The main difference between them is the domain where each discipline takes the input and produces the output. Recognizing the importance of merging the three distinct disciplines into one so that the image data can be successfully incorporated into the future computer technology, a new discipline, denoted as image computing, has been established to provide for consistency and efficiency in managing image data. In conjunction with other technologies such as video and computer-generated audio, image computing will play a key role in developing an integrated information processing platform that will be used in many areas in the 1990s. Some of the areas where image computing technology can be applied are presented. Requirements specific to each application are also described. Functions required of a typical computing workstation will be listed and each requirement will be investigated in detail. We describe how the continuing advances in technology will benefit image computing, and predict how the software algorithms of the future will be employed in image computing. We also introduce some possible future products that incorporate image computing technology.
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