Due to the huge amount of data and the increasing usage, compression of 4D medical data sets is essential. These datasets
consist of a number of sampled volume elements varying in time and are compressed either with spatial transformation
based (e.g. JPEG2000-3D) or motion estimation based schemes. This paper presents a combined approach incorporating
both, temporal and spatial information at the same time to compress 4D medical datasets. It is adopting a very similar
four-dimensional Multi-View-Coding (MVC) scheme which is known from video processing to 4D medical datasets and
compares experimental results with H.264 compression. Rate distortion characteristics show the advantages of such a
combined spatio-temporal approach.
The present contribution reports the development of an application specific integrated circuit (ASIC) for application in space-borne electronic data handling systems. The function of the ASIC is to perform a two-dimensional, multi-level Discrete Wavelet Transform (DWT) at high data rate. The implemented DWT is detailed mathematically, and the functionality and the architecture of the ASIC are described. The DWT ASIC will perform pixel data decorrelation in the CWIC on-board image compressor.
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.
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.
A digital preprocessor for the real-time compression of raw image data is currently under development. Since high input data rates (<EQ 160 Mb/s) have been specified, the processor is being developed fully in hardware. This hardware realization (ALTERATM CPLD and space-qualified ASIC technology) implements a compression scheme based on a Discrete Wavelet Transform and a Successive Approximation Quantization coding scheme. Therefore compression can be applied either in fixed rate or in fixed error modes, including a lossless mode.
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