公开(公告)号：US08275037B2

公开(公告)日：2012-09-25

申请号：US12227046

申请日：2007-04-26

申请人： Edouard Francois ,  Vincent Bottreau ,  Jérome Vieron ,  Christophe Chevance

发明人： Edouard Francois ,  Vincent Bottreau ,  Jérome Vieron ,  Christophe Chevance

IPC分类号： H04N7/12

CPC分类号： H04N19/33 ,  H04N19/61 ,  H04N19/70

摘要： Methods for determining for high layer macroblocks that use inter-layer prediction, a partitioning of the macroblock. The methods include dividing the high layer macroblock in non-overlapping high layer blocks of a predefined size; determining a corresponding base layer pixel for one pixel, called reference pixel, of each high layer block; identifying, for each reference pixel, a base layer macroblock to which the corresponding base layer pixel belongs, a base layer partition to which the corresponding base layer pixel belongs in the identified base layer macroblock, a base layer sub-partition to which the corresponding base layer pixel belongs in the identified base layer partition if the sub-partition exists; deriving, for each of the high layer block, a single value, called Partlnfo value; and determining a partitioning of the high layer macroblock in macroblock partitions by comparing between them the Partlnfo values associated with each of the high layer blocks.

摘要翻译： 用于确定使用层间预测的高层宏块的方法，宏块的划分。 所述方法包括在预定义大小的非重叠高层块中划分高层宏块; 确定每个高层块的一个像素（称为参考像素）的相应基本层像素; 为每个参考像素识别对应的基本层像素所属的基本层宏块，相应的基本层像素所属的基本层分区在所识别的基础层宏块中;基础层子分区，其中对应的基础 如果子分区存在，则层像素属于所识别的基层分区; 为每个高层块导出一个称为Partlnfo值的单个值; 以及通过在它们之间比较与高层块中的每一个相关联的Partlnfo值来确定宏块分区中的高层宏块的划分。

公开(公告)号：US07848429B2

公开(公告)日：2010-12-07

申请号：US11451288

申请日：2006-06-12

申请人： Gwenaelle Marquant ,  Guillaume Boisson ,  Jérome Vieron

发明人： Gwenaelle Marquant ,  Guillaume Boisson ,  Jérome Vieron

IPC分类号： H04N7/12 ,  H04B1/66

CPC分类号： H04N19/59 ,  H04N19/122 ,  H04N19/635

摘要： The method comprising a wavelet-based spatial analysis step comprising filtering operations of the picture at the high resolution format and horizontal and/or vertical decimation operations of the filtered picture to supply subband signals, is wherein a decimation operation is carried out according to a factor different from an even value and corresponds to the quotient of the horizontal and vertical dimensions of the first and second format such that the low frequency picture thus obtained relative to the low frequency subband signals, corresponds to the second format.

摘要翻译： 该方法包括基于小波的空间分析步骤，包括以高分辨率格式对图像进行滤波操作，以及滤波图像的水平和/或垂直抽取操作以提供子带信号，其中根据因子执行抽取操作 与偶数值不同，并且对应于第一和第二格式的水平和垂直尺寸的商，使得如此获得的相对于低频子带信号的低频图像对应于第二格式。

公开(公告)号：US20090225846A1

公开(公告)日：2009-09-10

申请号：US12087349

申请日：2006-12-18

申请人： Edouard Francois ,  Vincent Bottreau ,  Patrick Lopez ,  Jérome Vieron ,  Ying Chen

发明人： Edouard Francois ,  Vincent Bottreau ,  Patrick Lopez ,  Jérome Vieron ,  Ying Chen

IPC分类号： H04N7/26

CPC分类号： H04N19/57 ,  H04N19/16 ,  H04N19/187 ,  H04N19/31 ,  H04N19/33 ,  H04N19/52

摘要： The invention relates to a method for generating for at least one macroblock of a high resolution image at least one motion predictor from motion data associated to macroblock(s) of a low resolution image. The method comprises the following steps: —defining a virtual structure made up of non overlapping macroblocks, called virtual base layer macroblocks; —identifying for the high resolution macroblock corresponding virtual base layer macroblocks in the virtual image on the basis of the location of the high resolution macroblock within the high resolution image and on the basis of the ratios of low resolution and high resolution images dimensions; —deriving, for each identified virtual base layer macroblocks, motion data from motion data associated to at least one macroblock of a corresponding low resolution macroblocks pair on the basis of the field/frame mode of the corresponding low resolution macroblocks pair and on the basis of the field/frame mode of the high resolution macroblock; —resampling motion data associated to the corresponding virtual base layer macroblocks so as to generate the at least one motion predictor.

摘要翻译： 本发明涉及一种用于从与低分辨率图像的宏块相关联的运动数据生成高分辨率图像至少一个运动预测器的方法。 该方法包括以下步骤： - 定义由非重叠宏块组成的虚拟结构，称为虚拟基本层宏块; - 基于高分辨率图像内的高分辨率宏块的位置，并且基于低分辨率和高分辨率图像尺寸的比率来识别虚拟图像中的高分辨率宏块对应的虚拟基本层宏块; 根据相应的低分辨率宏块对的场/帧模式，根据相应的低分辨率宏块对对应于与相应的低分辨率宏块对的至少一个宏块相关联的运动数据，为每个识别的虚拟基本层宏块提供运动数据，并且基于 高分辨率宏块的场/帧模式; - 与相应的虚拟基本层宏块相关联的取样运动数据，以便生成所述至少一个运动预测器。