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    • 13. 发明申请
    • Method for Selecting Transform Types From Mapping Table for Prediction Modes
    • 从预测模式映射表中选择变换类型的方法
    • US20130003828A1
    • 2013-01-03
    • US13175737
    • 2011-07-01
    • Robert A. CohenAnthony Vetro
    • Robert A. CohenAnthony Vetro
    • H04N7/50
    • H04N7/52H04N19/10H04N19/11H04N19/12H04N19/122H04N19/159H04N19/60H04N19/61
    • A method codes pictures in a bitstream, wherein the bitstream includes coded pictures to obtain data for associated TUs and data for generating a transform tree, and a partitioning of coding units (CUs) into Prediction Units (PUs), and data for obtaining prediction modes or directions associated with each PU. One or more mapping tables are defined, wherein each row of each table has an associated index and a first set of transform types to be used for applying an inverse transformation to the data in TU. The first set of transform types is selected according to an index, and then a second set of transform types is applied as the inverse transformation to the data, wherein the second set of transform types is determined according to the first set of transform types and a transform-toggle flag (ttf) to obtain a reconstructed prediction residual.
    • 一种方法对比特流中的图像进行编码,其中比特流包括用于获得相关联的TU的数据的编码图像和用于生成变换树的数据,以及将编码单元(CU)划分为预测单元(PU)和用于获得预测模式的数据 或与每个PU相关联的方向。 定义一个或多个映射表,其中每个表的每一行具有相关联的索引和用于将逆变换应用于TU中的数据的第一组变换类型。 根据索引选择第一组变换类型,然后应用第二组变换类型作为数据的逆变换,其中根据第一组变换类型确定第二组变换类型,并且a 变换切换标志(ttf)以获得重建的预测残差。
    • 15. 发明授权
    • Method for enhancing depth images of scenes using trellis structures
    • 使用网格结构增强场景深度图像的方法
    • US08994722B2
    • 2015-03-31
    • US13406139
    • 2012-02-27
    • Dong TianYongzhe WangAnthony Vetro
    • Dong TianYongzhe WangAnthony Vetro
    • G06T15/20
    • G06T15/205
    • An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depths associated with each pixel of a selected image is determined. For each candidate depth, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth with a least cost is selected to produce an optimal depth for the pixel. Then, the virtual image is synthesized based on the optimal depth of each pixel and the texture images. The method also applies first and second depth enhancement before, and during view synthesis to correct errors or suppress noise due to the estimation or acquisition of the dense depth images and sparse depth features.
    • 基于一组纹理图像和从该场景获取的对应的一组深度图像来生成用于场景的虚拟视图的图像。 确定与所选图像的每个像素相关联的一组候选深度。 对于每个候选深度,确定估计虚拟图像的合成质量的成本。 选择具有最低成本的候选深度以产生像素的最佳深度。 然后,基于每个像素的最佳深度和纹理图像合成虚拟图像。 该方法还在视图合成之前和视图合成期间都应用第一和第二深度增强,以校正误差或抑制由于估计或获取密集深度图像和稀疏深度特征而导致的噪声。