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    • 1. 发明授权
    • Methods and devices for data compression using adaptive reconstruction levels
    • 使用自适应重建级别的数据压缩的方法和设备
    • US08582639B2
    • 2013-11-12
    • US12830548
    • 2010-07-06
    • Dake HeXiang YuEn-Hui Yang
    • Dake HeXiang YuEn-Hui Yang
    • H04N7/50H04B1/66
    • H04N19/192H04N19/126H04N19/147H04N19/172H04N19/174H04N19/176H04N19/19
    • Encoding and decoding methods that perform quantization using adaptive reconstruction levels are presented. The reconstruction levels for a given partitioning of the data space may be selected based upon the distribution of data points within each sub-part defined by the partitioning. In some cases, the adaptive reconstruction levels may be based upon an average of the data points within each sub-part. In some cases, the adaptive reconstruction levels may be selected using a rate-distortion analysis including the quantization distortion associated with the levels versus the data points and the rate associated with transmitting the encoded adaptive reconstruction levels. The methods relate to data compression in a range of applications including audio, images and video.
    • 提出了使用自适应重建级别执行量化的编码和解码方法。 可以基于由分区定义的每个子部分内的数据点的分布来选择数据空间的给定划分的重建级别。 在一些情况下,自适应重建级别可以基于每个子部分内的数据点的平均值。 在一些情况下,可以使用速率 - 失真分析来选择自适应重建级别,所述速率 - 失真分析包括与所述级别相对于所述数据点相关联的量化失真和与传送所述编码的自适应重建级别相关联的速率 该方法涉及包括音频,图像和视频在内的一系列应用中的数据压缩。
    • 4. 发明申请
    • METHOD AND DEVICE FOR DOWN-SAMPLING A DCT IMAGE IN THE DCT DOMAIN
    • 用于在DCT域中下采样DCT图像的方法和装置
    • US20120093428A1
    • 2012-04-19
    • US13311781
    • 2011-12-06
    • Xiang YuEn-hui YangHaiquan Wang
    • Xiang YuEn-hui YangHaiquan Wang
    • G06K9/36
    • G06T3/4084
    • A method and device that uses transform matrices to down-sample a DCT image directly in the DCT domain. The transform matrices have been selected to minimize an optimization problem which is a function of the visual quality of down-sampled images obtained using the matrices and the computational complexity associated with using the transform matrices. The transform matrices comprise a row transform matrix and a column transform matrix. A down-sampled image is produced by determining an intermediary matrix as the product of the DCT image and one of either the row transform matrix or the column transform matrix and then determining the down-sampled image as the product of the intermediary matrix and the transform matrix not already used to determine the intermediary matrix.
    • 一种使用变换矩阵直接在DCT域中对DCT图像进行下采样的方法和装置。 已经选择了变换矩阵以最小化优化问题,该优化问题是使用矩阵获得的下采样图像的视觉质量以及与使用变换矩阵相关联的计算复杂度的函数。 变换矩阵包括行变换矩阵和列变换矩阵。 通过将中间矩阵确定为DCT图像与行变换矩阵或列变换矩阵之一的乘积,然后将下采样图像确定为中间矩阵和变换的乘积来产生下采样图像 矩阵尚未用于确定中间矩阵。
    • 7. 发明授权
    • Method and device for selecting transform matrices for down-sampling DCT image using learning with forgetting algorithm
    • 用于使用遗忘算法学习选择用于下采样DCT图像的变换矩阵的方法和装置
    • US08233703B2
    • 2012-07-31
    • US13167880
    • 2011-06-24
    • Xiang YuEn-hui YangHaiquan Wang
    • Xiang YuEn-hui YangHaiquan Wang
    • G06K9/62
    • H04N19/625G06T3/4084H04N19/13H04N19/40H04N19/48H04N19/59H04N19/60
    • Down-sampling of an image may be performed in the DCT domain. A multiple layered network is used to select transform matrices for down-sampling a DCT image of size M×N to a DCT image of size I×J. A spatial domain down-sampling method is selected and applied to the DCT image to produce a down-sampled DCT reference image. A learning with forgetting algorithm is used to apply a decay to the elements of the transform matrix and select a transform matrices which solve an optimization problem. The optimization problem is a function of the visual quality of images obtained using the transform matrices and the computational complexity associated with using the transform matrices. The visual quality is a measure of the difference between the down-sampled DCT image obtained using the transform matrices and the visual quality of the DCT reference image obtained using a spatial domain down-sampling method.
    • 可以在DCT域中执行图像的下采样。 使用多层网络来选择用于将尺寸为M×N的DCT图像下采样到DCT大小为I×J的DCT图像的变换矩阵。 选择空间域下采样方法并将其应用于DCT图像以产生下采样DCT参考图像。 使用遗忘算法的学习对变换矩阵的元素应用衰减,并选择解决优化问题的变换矩阵。 优化问题是使用变换矩阵获得的图像的视觉质量和与使用变换矩阵相关联的计算复杂度的函数。 视觉质量是使用变换矩阵获得的下采样DCT图像与使用空间域下采样方法获得的DCT参考图像的视觉质量之间的差的度量。
    • 10. 发明申请
    • METHOD AND DEVICE FOR SELECTING TRANSFORM MATRICES FOR DOWN-SAMPLING DCT IMAGE USING LEARNING WITH FORGETTING ALGORITHM
    • 用于使用激励算法学习的用于选择用于下采样DCT图像的变换矩阵的方法和装置
    • US20110249722A1
    • 2011-10-13
    • US13167880
    • 2011-06-24
    • Xiang YuEn-hui YangHaiquan Wang
    • Xiang YuEn-hui YangHaiquan Wang
    • H04N11/02
    • H04N19/625G06T3/4084H04N19/13H04N19/40H04N19/48H04N19/59H04N19/60
    • Down-sampling of an image may be performed in the DCT domain. A multiple layered network is used to select transform matrices for down-sampling a DCT image of size M×N to a DCT image of size I×J. A spatial domain down-sampling method is selected and applied to the DCT image to produce a down-sampled DCT reference image. A learning with forgetting algorithm is used to apply a decay to the elements of the transform matrix and select a transform matrices which solve an optimization problem. The optimization problem is a function of the visual quality of images obtained using the transform matrices and the computational complexity associated with using the transform matrices. The visual quality is a measure of the difference between the down-sampled DCT image obtained using the transform matrices and the visual quality of the DCT reference image obtained using a spatial domain down-sampling method.
    • 可以在DCT域中执行图像的下采样。 使用多层网络来选择用于将尺寸为M×N的DCT图像下采样到DCT大小为I×J的DCT图像的变换矩阵。 选择空间域下采样方法并将其应用于DCT图像以产生下采样DCT参考图像。 使用遗忘算法的学习对变换矩阵的元素应用衰减,并选择解决优化问题的变换矩阵。 优化问题是使用变换矩阵获得的图像的视觉质量和与使用变换矩阵相关联的计算复杂度的函数。 视觉质量是使用变换矩阵获得的下采样DCT图像与使用空间域下采样方法获得的DCT参考图像的视觉质量之间的差的度量。