Paper
8 March 2002 Scalable software architecture for high-speed color document compression based on JPEG2000: VI
Michael Thierschmann, Uwe-Erik Martin
Author Affiliations +
Abstract
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. The new standard JPEG2000 (Part 6), 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 JPEG2000 (Part 6) 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 JPEG2000 (Part 6) compression scheme is a complex image processing system, allocating some computational performance, a scalable software system has been designed to meet the throughput of high-performance document scanners.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Thierschmann and Uwe-Erik Martin "Scalable software architecture for high-speed color document compression based on JPEG2000: VI", Proc. SPIE 4738, Wavelet and Independent Component Analysis Applications IX, (8 March 2002); https://doi.org/10.1117/12.458731
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KEYWORDS
Image compression

JPEG2000

Quantization

Image quality

Image quality standards

Image processing

Image resolution

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