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A Scalable DSP-Architecture For High-Speed Color Document Compression

机译:用于高速彩色文档压缩的可扩展DSP体系结构

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摘要

The processing of colored documents with Document Management Systems (DMS) is possible with the modern document scanning systems today. Because of the enormous amount of image data generated scanning a typical A4 document with a 300 dpi resolution, image compression is used. The JPEG compression scheme is widely used for such image data. The lack of image quality caused by necessary lossy compression, can significantly reduce the recognition quality of a subsequent optical character recognition (OCR) process, which is essential to any DMS system. LuraDocument, a high performance system for compressing and archiving scanned documents, particularly those containing text and image, is overcoming the gap between high compression and legibility of documents suitable to be managed inside DMS systems. The utilization of LuraDocument results in substantially higher image quality in comparison to standard compression techniques. This high quality is achieved by combining automatic text detection with bitonal compression of text and color/grayscale wavelet compression of images. Since the innovative LuraDocument compression scheme is a complex image processing system, allocating some computational performance, a scalable DSP system has been designed to meet the throughput of high-performance document scanners.
机译:当今的现代文档扫描系统可以使用文档管理系统(DMS)处理彩色文档。由于扫描300 dpi分辨率的典型A4文档时会生成大量图像数据,因此使用了图像压缩。 JPEG压缩方案被广泛用于这种图像数据。由必要的有损压缩导致的图像质量不足会大大降低后续光学字符识别(OCR)过程的识别质量,这对于任何DMS系统都是必不可少的。 LuraDocument是一种用于压缩和存档扫描的文档(尤其是包含文本和图像的文档)的高性能系统,它正在克服适合在DMS系统中管理的文档的高压缩率和易读性之间的差距。与标准压缩技术相比,LuraDocument的使用可显着提高图像质量。通过将自动文本检测与文本的双色调压缩以及图像的颜色/灰度小波压缩相结合,可以实现这种高质量。由于创新的LuraDocument压缩方案是一个复杂的图像处理系统,分配了一些计算性能,因此已设计了可扩展的DSP系统,以满足高性能文档扫描仪的吞吐量。

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