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    • 1. 发明授权
    • Image data compression employing multiple compression code tables
    • 使用多个压缩码表的图像数据压缩
    • US07050639B1
    • 2006-05-23
    • US09448940
    • 1999-11-24
    • Robert D. BarnesRobert C. Gemperline
    • Robert D. BarnesRobert C. Gemperline
    • G06K9/36
    • H04N19/17H04N19/13H04N19/15H04N19/91
    • An image data compression and decompression technique applies one or more compression code tables to optimally compress an image data stream. The compression code tables are established in accordance with anticipated image characteristics, and to accommodate different levels of variation or entropy in the image data. The image data may be divided into blocks or subregions for analysis of which of the candidate compression code tables provides the optimal compression of each subregion. The appropriate code table is selected for each subregion. The evaluation of the compression performance based upon application of each compression code table may include analysis of prediction differences or errors between predicted values for pixels of an image and the actual values for the pixels.
    • 图像数据压缩和解压缩技术应用一个或多个压缩码表以最佳地压缩图像数据流。 根据预期的图像特征建立压缩码表,并且适应图像数据中不同的变化或熵水平。 图像数据可以被划分为块或子区域,用于分析哪些候选压缩码表提供每个子区域的最佳压缩。 为每个子区域选择适当的代码表。 基于每个压缩码表的应用的压缩性能的评估可以包括对图像的像素的预测值和像素的实际值之间的预测差异或误差的分析。
    • 5. 发明授权
    • Medical image data compression employing image descriptive information for optimal compression
    • 医学图像数据压缩采用图像描述信息进行最佳压缩
    • US06912317B1
    • 2005-06-28
    • US09448952
    • 1999-11-24
    • Robert D. BarnesRobert C. Gemperline
    • Robert D. BarnesRobert C. Gemperline
    • G06F19/00G06K9/36H04N7/26
    • G06F19/321G06F19/00H04N19/13H04N19/14H04N19/176H04N19/46H04N19/70
    • An image data compression technique is disclosed in which image data compression is based at least partially upon information encoded in a descriptive portion of an image data file. The descriptive portion may be a header appended to image data. In medical diagnostic applications the descriptive data may include DICOM compliant data specifying imaging modality, anatomy or other features viewable in the reconstructed images, image matrix size, and so forth. Based upon the descriptive data, the image data files are analyzed and optimal compression algorithms are identified and selected. The image data files are then compressed in accordance with the selected algorithms. The algorithms may include appropriate compression code tables, desired lengths of subregions into which the image data stream is divided for compression, predictor algorithms used to determine relative entropy levels within the image data, and so forth.
    • 公开了一种图像数据压缩技术,其中图像数据压缩至少部分地基于在图像数据文件的描述部分中编码的信息。 描述部分可以是附加到图像数据的标题。 在医学诊断应用中,描述性数据可以包括指定成像模态,解剖结构或在重建图像中可见的其他特征,图像矩阵大小等的符合DICOM的数据。 基于描述性数据,分析图像数据文件,并且识别和选择最佳压缩算法。 然后根据所选择的算法对图像数据文件进行压缩。 算法可以包括适当的压缩码表,图像数据流被划分成压缩的所需长度的子区域,用于确定图像数据内的相对熵水平的预测器算法等等。
    • 9. 发明授权
    • Image data compression employing optimal subregion compression
    • 使用最佳子区域压缩的图像数据压缩
    • US06792151B1
    • 2004-09-14
    • US09448951
    • 1999-11-24
    • Robert D. BarnesRobert C. Gemperline
    • Robert D. BarnesRobert C. Gemperline
    • G06K936
    • H04N19/17H04N19/12H04N19/13
    • An image data compression technique includes division of an image data stream into a plurality of subregions and optimal compression of each subregion. The subregions may represent adjacent pixels in a reconstructed image, and may all be of the same length. The length of the subregions may be set to a default, and may be altered based upon image characteristics. The subregions are analyzed for selection of an optimal compression algorithm for each subregion from a set of candidate algorithms. Criteria for selection of the optimal algorithms may include the relative entropy levels of data within the subregions, and the length of compressed data code resulting from application of each of the candidate algorithms.
    • 图像数据压缩技术包括将图像数据流分割成多个子区域,并对每个子区域进行最佳压缩。 子区域可以表示重建图像中的相邻像素,并且可以全部具有相同的长度。 子区域的长度可以被设置为默认值,并且可以基于图像特征来改变。 分析该子区域以从一组候选算法中选择每个子区域的最优压缩算法。 用于选择最佳算法的标准可以包括子区域内的数据的相对熵级以及由应用每个候选算法产生的压缩数据代码的长度。