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    Compressing image data
    1.
    发明授权
    Compressing image data 有权
    压缩图像数据

    公开(公告)号：US09172953B2

    公开(公告)日：2015-10-27

    申请号：US14299961

    申请日：2014-06-09

    申请人： BlackBerry Limited

    发明人： Dake He ,  Xiang Yu ,  Jing Wang

    IPC分类号： G06K9/36 ,  H04N19/126 ,  H04N19/105 ,  H04N19/176 ,  H04N19/30 ,  H04N19/593 ,  H04N19/463 ,  H04N19/91

    CPC分类号： H04N19/126 ,  H04N19/105 ,  H04N19/176 ,  H04N19/30 ,  H04N19/463 ,  H04N19/593 ,  H04N19/91

    摘要： Methods, systems, and computer programs for encoding and decoding image are described. In some aspects, an input data block and a prediction data block are accessed. A projection factor is generated based on a projection of the input data block onto the prediction data block. A scaled prediction data block is generated by multiplying the projection factor by the prediction data block. A residual data block is generated based on a difference between the input data block and the scaled prediction data block. In some aspects, a prediction data block, a residual data block, and a projection factor associated with the residual data block are accessed. A scaled prediction data block is generated by multiplying the projection factor by the prediction data block. An output data block is generated by summing the residual data block and the scaled prediction data block.

    摘要翻译： 描述用于编码和解码图像的方法，系统和计算机程序。 在一些方面，访问输入数据块和预测数据块。 基于将输入数据块投影到预测数据块上而生成投影因子。 通过将投影因子乘以预测数据块来生成缩放预测数据块。 基于输入数据块和缩放预测数据块之间的差异生成残留数据块。 在一些方面，访问与残留数据块相关联的预测数据块，残差数据块和投影因子。 通过将投影因子乘以预测数据块来生成缩放预测数据块。 通过对残差数据块和缩放预测数据块求和来生成输出数据块。

    Sign coding for blocks with transform skipped
    5.
    发明授权
    Sign coding for blocks with transform skipped 有权
    符号编码的块被转换跳过

    公开(公告)号：US09456210B2

    公开(公告)日：2016-09-27

    申请号：US14051989

    申请日：2013-10-11

    申请人： BLACKBERRY LIMITED

    发明人： Jing Wang ,  Dake He ,  Nan Hu

    IPC分类号： H04N19/70 ,  H04N19/13 ,  H04N19/159 ,  H04N19/176

    CPC分类号： H04N19/13 ,  H04N19/159 ,  H04N19/176 ,  H04N19/18 ,  H04N19/60 ,  H04N19/625 ,  H04N19/70

    摘要： Methods of encoding and decoding sign information for non-zero coefficients in a block of video with transform skipped. The methods include context-based coding of a flag that signals if all signs are the same in the block; using a finite state machine to determine contexts for coding of sign information, some of which may be context-based coded and some of which may be non-context-based coded; context-based coding of sign information wherein the context is based upon the signs of neighbouring coefficients; context-based coding of sign information, where the sign information is a prediction of the sign; and using a dedicated context to code signs with a sign flag indicating whether signs in a transform skipping block have been inverted to preserve a dominant sign bias.

    摘要翻译： 对具有变换跳过的视频块中的非零系数的符号信息进行编码和解码的方法。 这些方法包括标志的基于上下文的编码，其在块中的所有符号相同时发信号; 使用有限状态机来确定用于编码符号信息的上下文，其中一些可以是基于上下文的编码，并且其中一些可以是基于非上下文的编码; 基于上下文的符号信息的编码，其中上下文基于相邻系数的符号; 符号信息的基于上下文的编码，其中符号信息是符号的预测; 并且使用专用上下文来编码具有指示变换跳过块中的符号已经被反转的符号标志的符号以保持显性符号偏差。

    Sign coding for blocks with transform skipped
    6.
    发明授权
    Sign coding for blocks with transform skipped 有权

    公开(公告)号：US09264724B2

    公开(公告)日：2016-02-16

    申请号：US14051968

    申请日：2013-10-11

    申请人： BLACKBERRY LIMITED

    发明人： Jing Wang ,  Dake He ,  David Flynn

    IPC分类号： H04N19/13 ,  H04N19/159 ,  H04N19/176

    CPC分类号： H04N19/13 ,  H04N19/159 ,  H04N19/176 ,  H04N19/18 ,  H04N19/60 ,  H04N19/625 ,  H04N19/70

    摘要： Methods of encoding and decoding sign information for non-zero coefficients in a block of video with transform skipped. The methods include context-based coding of a flag that signals if all signs are the same in the block; using a finite state machine to determine contexts for coding of sign information, some of which may be context-based coded and some of which may be non-context-based coded; context-based coding of sign information wherein the context is based upon the signs of neighbouring coefficients; context-based coding of sign information, where the sign information is a prediction of the sign; and using a dedicated context to code signs with a sign flag indicating whether signs in a transform skipping block have been inverted to preserve a dominant sign bias.

    METHODS AND DEVICES FOR DATA COMPRESSION USING OFFSET-BASED ADAPTIVE RECONSTRUCTION LEVELS
    7.
    发明申请
    METHODS AND DEVICES FOR DATA COMPRESSION USING OFFSET-BASED ADAPTIVE RECONSTRUCTION LEVELS 有权
    使用基于偏移的自适应重建级别进行数据压缩的方法和设备

    公开(公告)号：US20140307781A1

    公开(公告)日：2014-10-16

    申请号：US14315877

    申请日：2014-06-26

    申请人： BLACKBERRY LIMITED

    发明人： Dake He ,  Xiang Yu ,  Jing Wang ,  En-hui Yang

    IPC分类号： H04N19/124

    CPC分类号： H04N19/124 ,  H04N19/147 ,  H04N19/172 ,  H04N19/174 ,  H04N19/176 ,  H04N19/177 ,  H04N19/192 ,  H04N19/194 ,  H04N19/196 ,  H04N19/463 ,  H04N19/61 ,  H04N19/70

    摘要： Encoding and decoding methods are presented that used offset-based adaptive reconstruction levels. The offset data is inserted in the bitstream with the encoded video data. The offset data may be differential data and may be an index to an array of offset values from which the differential offset is calculated by the decoder. The offset to an adaptive reconstruction level may be adjusted for each slice. The offsets may be specific to a particular level/index and data type. In some cases, offsets may only be sent for a subset of the levels. Higher levels may apply no offset, may apply an average offset, or may apply the offset used for the highest level having a level-specific offset.

    摘要翻译： 提出了使用基于偏移的自适应重建级别的编码和解码方法。 偏移数据被插入到具有编码视频数据的比特流中。 偏移数据可以是差分数据，并且可以是由解码器计算差分偏移的偏移值的阵列的索引。 可以针对每个切片调整对自适应重建级别的偏移。 偏移量可能特定于特定级别/索引和数据类型。 在某些情况下，只能为子集的级别发送偏移量。 较高的等级可以不应用偏移量，可以应用平均偏移量，或者可以应用用于具有水平特定偏移量的最高级别的偏移量。

    Compressing Image Data
    8.
    发明申请
    Compressing Image Data 有权
    压缩图像数据

    公开(公告)号：US20140286405A1

    公开(公告)日：2014-09-25

    申请号：US14299961

    申请日：2014-06-09

    申请人： BlackBerry Limited

    发明人： Dake He ,  Xiang Yu ,  Jing Wang

    IPC分类号： H04N19/126 ,  H04N19/91 ,  H04N19/593 ,  H04N19/30

    CPC分类号： H04N19/126 ,  H04N19/105 ,  H04N19/176 ,  H04N19/30 ,  H04N19/463 ,  H04N19/593 ,  H04N19/91

    摘要： Methods, systems, and computer programs for encoding and decoding image are described. In some aspects, an input data block and a prediction data block are accessed. A projection factor is generated based on a projection of the input data block onto the prediction data block. A scaled prediction data block is generated by multiplying the projection factor by the prediction data block. A residual data block is generated based on a difference between the input data block and the scaled prediction data block. In some aspects, a prediction data block, a residual data block, and a projection factor associated with the residual data block are accessed. A scaled prediction data block is generated by multiplying the projection factor by the prediction data block. An output data block is generated by summing the residual data block and the scaled prediction data block.

    摘要翻译： 描述了用于编码和解码图像的方法，系统和计算机程序。 在一些方面，访问输入数据块和预测数据块。 基于将输入数据块投影到预测数据块上而生成投影因子。 通过将投影因子乘以预测数据块来生成缩放预测数据块。 基于输入数据块和缩放预测数据块之间的差异生成残留数据块。 在一些方面，访问与残留数据块相关联的预测数据块，残差数据块和投影因子。 通过将投影因子乘以预测数据块来生成缩放预测数据块。 通过对残差数据块和缩放预测数据块求和来生成输出数据块。

    Methods and devices for coding and decoding the position of the last significant coefficient
    9.
    发明授权
    Methods and devices for coding and decoding the position of the last significant coefficient 有权

    公开(公告)号：US10103746B2

    公开(公告)日：2018-10-16

    申请号：US15208717

    申请日：2016-07-13

    申请人： BlackBerry Limited

    发明人： Dake He ,  Jing Wang

    IPC分类号： H03M7/34 ,  H03M7/40 ,  H03M7/30

    摘要： Methods and devices are described for entropy coding data using an entropy coder to encode quantized transform domain coefficient data. Last significant coefficient information is signaled in the bitstream using two-dimensional coordinates for the last significant coefficient. The context for bins of one of the coordinates is based, in part, upon the value of the other of the coordinates. In one case, instead of signaling last significant coefficient information, the number of non-zero coefficients is binarized and entropy encoded.