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    • 2. 发明申请
    • DATA COMPRESSION ENGINES AND REAL-TIME WIDEBAND COMPRESSOR FOR MULTI-DIMENSIONAL DATA
    • 用于多维数据的数据压缩发动机和实时宽带压缩机
    • WO2005022399A3
    • 2007-10-11
    • PCT/CA2004001581
    • 2004-08-30
    • CANADIAN SPACE AGENCYQIAN SHEN-ENHOLLINGER ALLAN BGAGNON LUC
    • QIAN SHEN-ENHOLLINGER ALLAN BGAGNON LUC
    • G06F17/16G01J3/28G06K9/36H03M7/30
    • H04N19/94G01J3/2823H03M7/3082
    • The present invention relates to a real-time wideband compressor for multi-dimensional data. The compressor comprises a plurality of compression engines for simultaneously compressing a plurality of data subsets of a set of input data vectors and providing compressed data thereof using one of SAMVQ or HSOCVQ data compression. Each compression engine comprises an along spectral vectors codevector trainer as well as an across spectral bands codevector trainer. The compression engines are programmable to perform either along spectral vectors codevector training or across spectral bands codevector training in combination with one of the SAMVQ or HSOCVQ techniques without changing hardware. The compressor further comprises a network switch for partitioning the set of input data vectors into the plurality of data subsets, for providing each of the plurality of data subsets to one of the plurality of compression engines, and for transmitting the compressed data. The real-time wideband compressor is highly advantageous in, for example, space applications by programmable enabling performance of different techniques of codevector training as well as different techniques of VQ. Furthermore, after the compression process is started the compression process is performed autonomously without external communication.
    • 本发明涉及用于多维数据的实时宽带压缩器。 压缩机包括多个压缩引擎,用于同时压缩一组输入数据向量的多个数据子集,并使用SAMVQ或HSOCVQ数据压缩之一提供其压缩数据。 每个压缩引擎包括沿着频谱矢量码矢量训练器以及跨频谱带码矢量训练器。 压缩引擎可编程为可以在不改变硬件的情况下,沿着频谱矢量码矢量训练或跨频谱频带编码矢量训练与SAMVQ或HSOCVQ技术中的一种进行组合。 该压缩器还包括网络交换机,用于将该组输入数据向量划分成多个数据子集,用于将多个数据子集中的每一个提供给多个压缩引擎中的一个,并用于发送压缩数据。 实时宽带压缩器在例如空间应用中通过可编程实现的不同技术的码向量训练以及不同的VQ技术是非常有利的。 此外,在压缩处理开始之后,压缩处理在没有外部通信的情况下自主地执行。
    • 4. 发明申请
    • METHOD OF CODING A CONTINUOUS DATA FLOW USING VECTOR QUANTIZATION
    • 使用矢量量化编码连续数据流的方法
    • WO2005004061A1
    • 2005-01-13
    • PCT/CA2004/001031
    • 2004-06-25
    • CANADIAN SPACE AGENCYQIAN, Shen-EnHOLLINGER, Alan, B.
    • QIAN, Shen-EnHOLLINGER, Alan, B.
    • G06T9/00
    • G06T9/008
    • The present invention relates to a method and system for compressing a continuous data flow in real-time based on lossy compression. In real-time data compression, a series of multi-dimensional data subsets acquired in a given period of time are treated as a regional data cube for the purpose of dividing a continuous series of data subsets into a plurality of data cubes. In a first embodiment implementation of parallel processing using a plurality of compression engines is facilitated by separating a data cube into a plurality of clusters comprising similar spectral vectors. By separating the data cube into clusters of similar spectral vectors no artificial spatial boundaries are introduced substantially improving image quality. Furthermore, the spectral vectors within a cluster are more easily compressed due to their similarity. In a second embodiment a predetermined number of 2D focal plane frames in a boundary area of a previous regional data cube close to a current regional data cube are included in a training set used for codevector training for the current region. Therefore, no artificial boundary occurs between the two adjacent regions when codevectors trained in this way are used for codebook generation and encoding of the spectral vectors of the current regional data cube substantially reducing image artifacts between adjacent regions. A remedy for the single bit error problem is provided in a third embodiment. Full redundancy of compressed data for a regional data cube is obtained by combining the previous regional data cube and the current regional data cube for codebook training. In order to obtain redundancy for the index map, the codebook is used to encode the current regional data cube as well as the previous regional data cube producing a baseline index map for the current regional data cube and a redundant index map for the previous regional data cube. Therefore, full redundancy for a regional data cube is provided allowing restoration of a regional data cube if its codebook and/or index map are corrupted or lost due to single bit errors.
    • 本发明涉及一种基于有损压缩实时压缩连续数据流的方法和系统。 在实时数据压缩中,在给定时间段内获取的一系列多维数据子集被视为区域数据立方体,用于将连续的数据子集序列划分成多个数据立方体。 在第一实施例中,使用多个压缩引擎的并行处理的实现通过将数据立方体分离成包括相似频谱矢量的多个簇来实现。 通过将数据立方体分成相似光谱矢量的簇,不会引入人造空间边界,从而显着提高图像质量。 此外,簇内的频谱矢量由于其相似性而更容易压缩。 在第二实施例中,接近当前区域数据立方体的先前区域数据立方体的边界区域中的预定数量的2D焦平面帧被包括在用于当前区域的码矢量训练的训练集中。 因此,当以这种方式训练的代码矢量用于码本生成和当前区域数据立方体的频谱矢量的编码时,两个相邻区域之间不会发生人造边界,从而大大减少相邻区域之间的图像伪影。 在第三实施例中提供了针对单个位错误问题的补救措施。 通过组合以前的区域数据立方体和当前用于码本训练的区域数据立方体,可以获得区域数据立方体的压缩数据的完全冗余度。 为了获得索引图的冗余,码本用于对当前区域数据立方体以及以前的区域数据立方体进行编码,以生成当前区域数据立方体的基线索引图,以及用于先前区域数据的冗余索引图 立方体。 因此,如果区域数据立方体的码本和/或索引映射由于单个位错误而损坏或丢失,则可以提供区域数据立方体的完全冗余。
    • 6. 发明申请
    • DATA COMPRESSION ENGINES AND REAL-TIME WIDEBAND COMPRESSOR FOR MULTI-DIMENSIONAL DATA
    • 用于多维数据的数据压缩发动机和实时宽带压缩机
    • WO2005022399A2
    • 2005-03-10
    • PCT/CA2004/001581
    • 2004-08-30
    • CANADIAN SPACE AGENCYQIAN, Shen-EnHOLLINGER, Alan, B.GAGNON, Luc
    • QIAN, Shen-EnHOLLINGER, Alan, B.GAGNON, Luc
    • G06F17/16
    • H04N19/94G01J3/2823H03M7/3082
    • The present invention relates to a real-time wideband compressor for multi-dimensional data. The compressor comprises a plurality of compression engines for simultaneously compressing a plurality of data subsets of a set of input data vectors and providing compressed data thereof using one of SAMVQ or HSOCVQ data compression. Each compression engine comprises an along spectral vectors codevector trainer as well as an across spectral bands codevector trainer. The compression engines are programmable to perform either along spectral vectors codevector training or across spectral bands codevector training in combination with one of the SAMVQ or HSOCVQ techniques without changing hardware. The compressor further comprises a network switch for partitioning the set of input data vectors into the plurality of data subsets, for providing each of the plurality of data subsets to one of the plurality of compression engines, and for transmitting the compressed data. The real-time wideband compressor is highly advantageous in, for example, space applications by programmable enabling performance of different techniques of codevector training as well as different techniques of VQ. Furthermore, after the compression process is started the compression process is performed autonomously without external communication.
    • 本发明涉及用于多维数据的实时宽带压缩器。 压缩机包括多个压缩引擎,用于同时压缩一组输入数据向量的多个数据子集,并使用SAMVQ或HSOCVQ数据压缩之一提供其压缩数据。 每个压缩引擎包括沿着频谱矢量码矢量训练器以及跨频谱带码矢量训练器。 压缩引擎可编程为可以在不改变硬件的情况下,沿着频谱矢量码矢量训练或跨频谱频带编码矢量训练与SAMVQ或HSOCVQ技术中的一种进行组合。 该压缩器还包括网络交换机,用于将该组输入数据向量划分成多个数据子集,用于将多个数据子集中的每一个提供给多个压缩引擎中的一个,并用于发送压缩数据。 实时宽带压缩器在例如空间应用中通过可编程实现的不同技术的码向量训练以及不同的VQ技术是非常有利的。 此外,在压缩处理开始之后,压缩处理在没有外部通信的情况下自主地执行。
    • 7. 发明申请
    • METHOD AND APPARATUS FOR VECTOR QUANTIZATION USING A SHARED CODEBOOK
    • 使用共享的CODEBOOK进行矢量量化的方法和装置
    • WO2005001770A1
    • 2005-01-06
    • PCT/CA2004/000929
    • 2004-06-25
    • CANADIAN SPACE AGENCYQIAN, Shen-EnHOLLINGER, Alan, B.
    • QIAN, Shen-EnHOLLINGER, Alan, B.
    • G06T9/00
    • H03M7/3082
    • The present invention relates to a method for compressing a continuous data flow based on lossy compression. In real-time data compression, a series of data subsets acquired in a given period of time are treated as a regional data cube for the purpose of dividing a continuous series of data subsets into a plurality of data cubes. Reuse of existing codevectors is important in achieving high compression performance. For encoding spectral vectors on a subset-by-subset basis in a current region two types of codevectors are used, codevectors that have been newly trained for previous data subsets in the current region and codevectors trained for the previous region. The problem of a visible spatial boundary between two adjacent regions after decompression is overcome by reusing the codevectors trained from a previous region to encode the spectral vectors in the current region in order to attain a seamless conjunction of the two adjacent regions. Experimental results show that the method for compressing a continuous data flow in real-time according to the present invention performs as well as data compression performed in batch mode. Therefore, the method is highly advantageous in, for example, space applications or medical imaging.
    • 本发明涉及一种基于有损压缩来压缩连续数据流的方法。 在实时数据压缩中,在给定时间段内获取的一系列数据子集被视为区域数据立方体,用于将连续的一系列数据子集划分成多个数据立方体。 现有代码示例的重用对于实现高压缩性能很重要。 为了在当前区域中以子集为基础对频谱矢量进行编码,使用两种类型的码矢量,已经针对当前区域中的先前数据子集新近训练的码矢量,以及针对先前区域训练的码矢量。 解压缩后两个相邻区域之间的可见空间边界的问题通过重用来自先前区域训练的码矢来克服当前区域中的频谱矢量,以便获得两个相邻区域的无缝连接。 实验结果表明,根据本发明实时压缩连续数据流的方法以批处理方式执行数据压缩。 因此,该方法在例如空间应用或医学成像方面是非常有利的。