Embedded graphics coding for images with sparse histograms
    21.
    发明授权
    Embedded graphics coding for images with sparse histograms 有权
    具有稀疏直方图的图像的嵌入式图形编码

    公开(公告)号:US08457425B2

    公开(公告)日:2013-06-04

    申请号:US12795210

    申请日:2010-06-07

    IPC分类号: G06K9/46

    CPC分类号: G06T9/00 H04N19/647

    摘要: Processes for compressing images with sparse histograms are disclosed. The image is divided into blocks, and a bit budget is assigned for each block. The pixels of a block are converted and coded bit-plane by bit-plane, starting from the Most Significant Bit (MSB) and going towards the Least Significant Bit (LSB). The pixels of the block are partitioned into groups. Each group contains pixels that have same value. Moving from the MSB to the LSB, the groups in each bit-plane are processed. When processing a group, the encoder sends a “0” if all group members have same bit value at the current bit-plane being processed, followed by the bit value; otherwise, the encoder sends a “1”, followed by refinement bits for each pixel of the group, and the encoder splits the group.

    摘要翻译: 公开了用稀疏直方图压缩图像的过程。 图像被划分为块,并且为每个块分配比特预算。 通过比特平面,从最高有效位(MSB)开始并转到最低有效位(LSB),块的像素被转换和编码位平面。 块的像素被划分成组。 每个组包含具有相同值的像素。 从MSB移动到LSB,每个位平面中的组被处理。 当处理组时,如果所有组成员在正在处理的当前位平面上具有相同的位值,则编码器发送“0”,后跟位值; 否则,编码器发送“1”,然后对该组的每个像素进行细化比特,编码器分组。

    Method for improving the performance of embedded graphics coding
    22.
    发明授权
    Method for improving the performance of embedded graphics coding 有权
    提高嵌入式图形编码性能的方法

    公开(公告)号:US08285062B2

    公开(公告)日:2012-10-09

    申请号:US12837364

    申请日:2010-07-15

    IPC分类号: G06K9/36 G06K9/46

    摘要: Embedded Graphics Coding (EGC) is used to encode images with sparse histograms. In EGC, an image is divided into blocks of pixels. For each block, the pixels are converted into binary representations. For each block, the pixels are scanned and encoded bit-plane by bit-plane from the most significant bit-plane (MSB) to the least significant bit-plane (LSB). The pixels in the block are partitioned into groups. Each group contains pixels with the same value. From the MSB to the LSB, the groups in the current bit plane are processed. During the processing, a group is split into two, if pixels in the group have different bit values in the bit-plane being encoded. Then, the encoder sends the refinement bit for each pixel in the group and the encoder splits the original group into two. A method is described herein to compress the refinement bits which employs context-adaptive prediction and binary run-length coding.

    摘要翻译: 嵌入式图形编码(EGC)用于对具有稀疏直方图的图像进行编码。 在EGC中,图像被划分成像素块。 对于每个块,像素被转换成二进制表示。 对于每个块,像素通过位平面从最高有效位平面(MSB)到最低有效位平面(LSB)进行位平面扫描和编码。 块中的像素被划分成组。 每个组包含具有相同值的像素。 从MSB到LSB,处理当前位平面中的组。 在处理期间,如果组中的像素在被编码的位平面中具有不同的位值,则将组分成两个。 然后,编码器发送组中每个像素的细化位,编码器将原始组分成两组。 这里描述了一种用于压缩采用上下文自适应预测和二进制游程编码的细化比特的方法。

    TREES FOR ADAPTIVE CODING OF IMAGES AND VIDEOS USING SET PARTITIONING IN GENERALIZED HIERARCHICAL TREES HAVING DIRECTIONALITY
    23.
    发明申请
    TREES FOR ADAPTIVE CODING OF IMAGES AND VIDEOS USING SET PARTITIONING IN GENERALIZED HIERARCHICAL TREES HAVING DIRECTIONALITY 失效
    用于自适应编码图像和视频的条件使用在具有方向性的通用分层中设置分割

    公开(公告)号:US20100310186A1

    公开(公告)日:2010-12-09

    申请号:US12796651

    申请日:2010-06-08

    IPC分类号: G06K9/36 H04N11/02

    摘要: Adaptive entropy encoding and decoding which utilizes Set Partitioning within Generalized Hierarchical Trees (SPRIGHT) and a method of designing trees utilizing directionality. After decorrelation and quantization a tree structure is selected from multiple candidates, based on geometric relationships within the image block, for coding the coefficients toward improving zero-clustering of coefficients. Trees for the SPRIGHT encoding are created in response to finding frequency position of each coefficient and scaling frequency position followed by use of octave-band partitioning of coefficient patterns into squares and L-shapes, and the L-shapes are iteratively partitioned into squares. The tree comprises leaf nodes containing coefficients associated with each non-leaf node. The number of zero clustered coefficients can be increased, thus decreasing the number of nodes coded into the encoded image output.

    摘要翻译: 在广义分层树(SPRIGHT)中利用集分割的自适应熵编码和解码,以及利用方向性设计树的方法。 在去相关和量化之后,基于图像块内的几何关系从多个候选中选择树结构,用于对系数进行编码以改进系数的零聚类。 响应于找到每个系数的频率位置和缩放频率位置,随后使用系数图案的八度带分割成正方形和L形,创建SPRIGHT编码的树,并且将L形重复地划分为正方形。 该树包括包含与每个非叶节点相关联的系数的叶节点。 可以增加零聚集系数的数量,从而减少编码为编码图像输出的节点数。

    EMBEDDED GRAPHICS CODING FOR IMAGES WITH SPARSE HISTOGRAMS
    24.
    发明申请
    EMBEDDED GRAPHICS CODING FOR IMAGES WITH SPARSE HISTOGRAMS 有权
    嵌入式图形编码用于具有稀疏组织的图像

    公开(公告)号:US20100310169A1

    公开(公告)日:2010-12-09

    申请号:US12795210

    申请日:2010-06-07

    IPC分类号: G06K9/34 G06K9/36

    CPC分类号: G06T9/00 H04N19/647

    摘要: Processes for compressing images with sparse histograms are disclosed. The image is divided into blocks, and a bit budget is assigned for each block. The pixels of a block are converted and coded bit-plane by bit-plane, starting from the Most Significant Bit (MSB) and going towards the Least Significant Bit (LSB). The pixels of the block are partitioned into groups. Each group contains pixels that have same value. Moving from the MSB to the LSB, the groups in each bit-plane are processed. When processing a group, the encoder sends a “0” if all group members have same bit value at the current bit-plane being processed, followed by the bit value; otherwise, the encoder sends a “1”, followed by refinement bits for each pixel of the group, and the encoder splits the group.

    摘要翻译: 公开了用稀疏直方图压缩图像的过程。 图像被划分为块,并且为每个块分配比特预算。 通过比特平面,从最高有效位(MSB)开始并转到最低有效位(LSB),块的像素被转换和编码位平面。 块的像素被划分成组。 每个组包含具有相同值的像素。 从MSB移动到LSB,每个位平面中的组被处理。 当处理组时,如果所有组成员在正在处理的当前位平面上具有相同的位值,则编码器发送“0”,后跟位值; 否则,编码器发送“1”,然后对该组的每个像素进行细化比特,编码器分组。

    Vector embedded graphics coding
    25.
    发明授权
    Vector embedded graphics coding 有权
    矢量嵌入图形编码

    公开(公告)号:US08447102B2

    公开(公告)日:2013-05-21

    申请号:US12873033

    申请日:2010-08-31

    IPC分类号: G06K9/00 G06K9/36 H04N5/76

    CPC分类号: G06T9/008 G06T9/00 H04N9/73

    摘要: A method of coding High Definition (HD) color pictures is described. The method divides the HD picture into individual bit planes of the three colors. The method then interleaves the bit planes such that bit planes of the three colors having the same significance are coded together. The method codes a block of the picture based on the bit distribution in corresponding groups of the corresponding bit planes of the three colors. The method performs a first level grouping of bits in a bit plane of an image and a second level grouping of the first level grouping bits of different color components within a group.

    摘要翻译: 描述了对高清(HD)彩色图像进行编码的方法。 该方法将HD图像分为三种颜色的各个位平面。 该方法然后交错位平面,使得具有相同重要性的三种颜色的位平面被编码在一起。 该方法基于三种颜色的相应位平面的相应组中的位分布来对图像的块进行编码。 该方法执行图像的位平面中的比特的第一级分组以及组内不同颜色分量的第一级分组比特的第二级分组。

    Adaptive entropy coding for images and videos using set partitioning in generalized hierarchical trees
    26.
    发明授权
    Adaptive entropy coding for images and videos using set partitioning in generalized hierarchical trees 有权
    使用广义分层树中的集分割对图像和视频进行自适应熵编码

    公开(公告)号:US08406546B2

    公开(公告)日:2013-03-26

    申请号:US12758981

    申请日:2010-04-13

    IPC分类号: G06K9/36

    摘要: Adaptive entropy encoding and decoding utilizing set partitioning within generalized hierarchical trees which is applicable to both embedded and non-embedded encoding. After decorrelation and quantization during encoding, a tree structure is selected from multiple candidates, based on geometric relationships within the image block, for coding the coefficients toward improving coefficient zero clustering. The tree structure has leaf and non-leaf nodes in a specified arrangement, with leaf nodes containing coefficients associated with each non-leaf node. By proper tree selection, the number of zero clustered coefficients which may be eliminated from the encoded output stream is increased. During decoding, a tree structure compatible with the encoding for the current block is used for decoding the existing coefficients from the symbol stream and restoring missing zero coefficients.

    摘要翻译: 利用适用于嵌入式和非嵌入式编码的广义分层树中的集合分割的自适应熵编码和解码。 在编码中进行解相关和量化之后,基于图像块内的几何关系从多个候选中选择树结构,用于对系数进行编码以改进系数零聚类。 树结构具有指定布置的叶子和非叶节点,叶节点包含与每个非叶节点相关联的系数。 通过适当的树选择,可以从编码的输出流中消除的零聚集系数的数量增加。 在解码期间,与当前块的编码兼容的树结构被用于从符号流解码现有系数并恢复丢失的零系数。

    Bitstream syntax for graphics-mode compression in wireless HD 1.1
    27.
    发明授权
    Bitstream syntax for graphics-mode compression in wireless HD 1.1 有权
    无线HD 1.1中图形模式压缩的位流语法

    公开(公告)号:US08306322B2

    公开(公告)日:2012-11-06

    申请号:US12873059

    申请日:2010-08-31

    IPC分类号: G06K9/00 G06K9/36 G06K9/46

    CPC分类号: H04N1/646

    摘要: A method of and system for encoding high definition video content using embedded graphics coding is described. The method determines if the video content includes an RGB or YUV444 color format or a YUV422 color format. If the color scheme includes RGB or YCbCr444 data and separate encoding is used, then all three color components are encoded separately using scalar EGC. If the color scheme includes RGB or YCbCr444 data and joint encoding is used, then all three color components are jointly encoded using joint scalar EGC. If the color scheme includes YCbCr422 data and separate encoding is used, then Y, U and V are encoded separately using scalar EGC. If the color scheme includes YCbCr422 data and joint encoding is used, then Y is encoded by itself using scalar EGC and U and V are jointly encoded using joint scalar EGC.

    摘要翻译: 描述了使用嵌入式图形编码对高清晰度视频内容进行编码的方法和系统。 该方法确定视频内容是否包含RGB或YUV444颜色格式或YUV422颜色格式。 如果颜色方案包括RGB或YCbCr444数据,并使用单独的编码,则所有三个颜色分量都使用标量EGC分开编码。 如果颜色方案包括RGB或YCbCr444数据,并使用联合编码,则所有三个颜色分量都使用联合标量EGC联合编码。 如果颜色方案包含YCbCr422数据,并使用单独的编码,则Y,U和V使用标量EGC分别进行编码。 如果颜色方案包含YCbCr422数据并使用联合编码,则Y使用标量EGC自身编码,U和V使用联合标量EGC共同编码。

    ADAPTIVE ENTROPY CODING FOR IMAGES AND VIDEOS USING SET PARTITIONING IN GENERALIZED HIERARCHICAL TREES
    29.
    发明申请
    ADAPTIVE ENTROPY CODING FOR IMAGES AND VIDEOS USING SET PARTITIONING IN GENERALIZED HIERARCHICAL TREES 有权
    用于图像和视频的自适应熵编码使用在一般分层中设置分割

    公开(公告)号:US20100310185A1

    公开(公告)日:2010-12-09

    申请号:US12758981

    申请日:2010-04-13

    IPC分类号: G06K9/46

    摘要: Adaptive entropy encoding and decoding utilizing set partitioning within generalized hierarchical trees which is applicable to both embedded and non-embedded encoding. After decorrelation and quantization during encoding, a tree structure is selected from multiple candidates, based on geometric relationships within the image block, for coding the coefficients toward improving coefficient zero clustering. The tree structure has leaf and non-leaf nodes in a specified arrangement, with leaf nodes containing coefficients associated with each non-leaf node. By proper tree selection, the number of zero clustered coefficients which may be eliminated from the encoded output stream is increased. During decoding, a tree structure compatible with the encoding for the current block is used for decoding the existing coefficients from the symbol stream and restoring missing zero coefficients.

    摘要翻译: 利用适用于嵌入式和非嵌入式编码的广义分层树中的集合分割的自适应熵编码和解码。 在编码中进行解相关和量化之后,基于图像块内的几何关系从多个候选中选择树结构,用于对系数进行编码以改进系数零聚类。 树结构具有指定布置的叶子和非叶节点,叶节点包含与每个非叶节点相关联的系数。 通过适当的树选择,可以从编码的输出流中消除的零聚集系数的数量增加。 在解码期间,与当前块的编码兼容的树结构被用于从符号流解码现有系数并恢复丢失的零系数。

    Codeword space reduction for intra chroma mode signaling for HEVC
    30.
    发明授权
    Codeword space reduction for intra chroma mode signaling for HEVC 有权
    用于HEVC的色度模式信号的代码字空间减少

    公开(公告)号:US09232227B2

    公开(公告)日:2016-01-05

    申请号:US13227732

    申请日:2011-09-08

    摘要: Intra prediction is used in state-of-the-art video coding standards such as AVC. The intra prediction modes are coded into the bitstream. Luma and chroma components could potentially have different prediction modes. For chroma components, there are 7 different modes defined in AVC: vertical, horizontal, DC, diagonal directions, and “same as luma”. Statistics show that the “same as luma” mode is frequently used, but in AVC, this mode is encoded using more bits than other modes during entropy coding, therefore the coding efficiency is decreased. Accordingly, a modified binarization/codeword assignment for chroma intra mode signaling is able to be utilized for high efficiency video coding (HEVC), the next generation video coding standard.

    摘要翻译: 帧内预测用于诸如AVC的最先进的视频编码标准。 帧内预测模式被编码到比特流中。 亮度和色度分量可能具有不同的预测模式。 对于色度分量,在AVC中定义了7种不同的模式:垂直,水平,直流,对角线方向和“与亮度相同”。 统计显示,经常使用“与亮度相同”的方式,但在AVC中,在熵编码中,该模式比其他模式更多的位进行编码,因此编码效率降低。 因此,用于色度帧内信令的修正二值化/码字分配能够用于下一代视频编码标准中的高效率视频编码(HEVC)。