专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08731287B2 Image prediction based on primary color grading model 有权
标题翻译：基于原色分级模型的图像预测
公开(公告)号：US08731287B2
公开(公告)日：2014-05-20
申请号：US14110701
申请日：2012-04-13
申请人： Guan-Ming Su , Sheng Qu , Hubert Koepfer , Yufei Yuan , Samir Hulyalkar , Walter Gish
发明人： Guan-Ming Su , Sheng Qu , Hubert Koepfer , Yufei Yuan , Samir Hulyalkar , Walter Gish
IPC分类号： G06K9/36
CPC分类号： G06T5/50 , G06T5/009 , H04N1/6027 , H04N19/105 , H04N19/136 , H04N19/186 , H04N19/36
摘要： Inter-color image prediction is based on color grading modeling. Prediction is applied to the efficient coding of images and video signals of high dynamic range. Prediction models may include a color transformation matrix that models hue and saturation color changes and a non-linear function modeling color correction changes. Under the assumption that the color grading process uses a slope, offset, and power (SOP) operations, an example non linear prediction model is presented.
摘要翻译：彩色图像预测是基于颜色分级建模的。预测应用于高动态范围的图像和视频信号的有效编码。预测模型可以包括对色相和饱和度颜色变化进行建模的颜色变换矩阵和非线性函数建模颜色校正变化。在颜色分级过程使用斜率，偏移和功率（SOP）操作的假设下，呈现示例非线性预测模型。

2. 发明申请

US20140050271A1 Non-Linear VDR Residual Quantizer 有权
标题翻译：非线性VDR残留量化器
公开(公告)号：US20140050271A1
公开(公告)日：2014-02-20
申请号：US14113939
申请日：2012-04-24
申请人： Guan-Ming Su , Yufei Yuan , Sheng Qu
发明人： Guan-Ming Su , Yufei Yuan , Sheng Qu
IPC分类号： H04N7/26
CPC分类号： H04N19/126 , G06F3/1423 , G09G5/10 , G09G2320/0271 , H04N19/00 , H04N19/136 , H04N19/186 , H04N19/192 , H04N19/36 , H04N19/40 , H04N19/46 , H04N19/86 , H04N21/2365
摘要： In layered VDR coding, inter-layer residuals are quantized by a non-linear quantizer before being coded by a subsequent encoder. Several non-linear quantizers are presented. Such non-linear quantizers may be based on sigmoid-like transfer functions, controlled by one or more free parameters that control their mid-range slope. These functions may also depend on an offset, an output range parameter, and the maximum absolute value of the input data. The quantizer parameters can time-vary and are signaled to a layered decoder. Example non-linear quantizers described herein may be based on the mu-law function, a sigmoid function, and/or a Laplacian distribution.
摘要翻译：在分层VDR编码中，层间残差在被后续编码器编码之前由非线性量化器进行量化。提出了几种非线性量化器。这种非线性量化器可以基于S形传递函数，由一个或多个控制其中间范围斜率的自由参数控制。这些功能也可能取决于偏移量，输出范围参数和输入数据的最大绝对值。量化器参数可以随时间变化，并被发送到分层解码器。本文描述的示例性非线性量化器可以基于μ律函数，S形函数和/或拉普拉斯分布。

3. 发明授权

US09066070B2 Non-linear VDR residual quantizer 有权
标题翻译：非线性VDR残留量化器
公开(公告)号：US09066070B2
公开(公告)日：2015-06-23
申请号：US14113939
申请日：2012-04-24
申请人： Guan-Ming Su , Yufei Yuan , Sheng Qu
发明人： Guan-Ming Su , Yufei Yuan , Sheng Qu
IPC分类号： H04N7/26 , H04N7/12 , H04N7/32 , H04N11/02 , H04N19/126 , H04N19/46 , H04N19/136 , H04N19/186 , H04N19/192 , H04N19/86 , H04N19/36 , H04N19/40 , H04N19/61 , H04N21/2365
CPC分类号： H04N19/126 , G06F3/1423 , G09G5/10 , G09G2320/0271 , H04N19/00 , H04N19/136 , H04N19/186 , H04N19/192 , H04N19/36 , H04N19/40 , H04N19/46 , H04N19/86 , H04N21/2365
摘要： In layered VDR coding, inter-layer residuals are quantized by a non-linear quantizer before being coded by a subsequent encoder. Several non-linear quantizers are presented. Such non-linear quantizers may be based on sigmoid-like transfer functions, controlled by one or more free parameters that control their mid-range slope. These functions may also depend on an offset, an output range parameter, and the maximum absolute value of the input data. The quantizer parameters can time-vary and are signaled to a layered decoder. Example non-linear quantizers described herein may be based on the mu-law function, a sigmoid function, and/or a Laplacian distribution.
摘要翻译：在分层VDR编码中，层间残差在被后续编码器编码之前由非线性量化器进行量化。提出了几种非线性量化器。这种非线性量化器可以基于S形传递函数，由一个或多个控制其中间范围斜率的自由参数控制。这些功能也可能取决于偏移量，输出范围参数和输入数据的最大绝对值。量化器参数可以随时间变化，并被发送到分层解码器。本文描述的示例性非线性量化器可以基于μ律函数，S形函数和/或拉普拉斯分布。

4. 发明授权

US08811490B2 Multiple color channel multiple regression predictor 有权
标题翻译：多色通道多重回归预测器
公开(公告)号：US08811490B2
公开(公告)日：2014-08-19
申请号：US14110694
申请日：2012-04-13
申请人： Guan-Ming Su , Sheng Qu , Hubert Koepfer , Yufei Yuan , Samir Hulyalkar
发明人： Guan-Ming Su , Sheng Qu , Hubert Koepfer , Yufei Yuan , Samir Hulyalkar
IPC分类号： H04N7/26
CPC分类号： H04N19/105 , G06F17/18 , H04N19/147 , H04N19/16 , H04N19/192 , H04N19/30 , H04N19/98
摘要： Inter-color image prediction is based on multi-channel multiple regression (MMR) models. Image prediction is applied to the efficient coding of images and video signals of high dynamic range. MMR models may include first order parameters, second order parameters, and cross-pixel parameters. MMR models using extension parameters incorporating neighbor pixel relations are also presented. Using minimum means-square error criteria, closed form solutions for the prediction parameters are presented for a variety of MMR models.
摘要翻译：彩色图像预测是基于多通道多元回归（MMR）模型。图像预测应用于高动态范围的图像和视频信号的有效编码。 MMR模型可以包括一阶参数，二阶参数和跨像素参数。还提出了使用包含相邻像素关系的扩展参数的MMR模型。使用最小均方误差准则，针对各种MMR模型提出了预测参数的闭合形式解。

5. 发明申请

US20140037205A1 Image Prediction Based on Primary Color Grading Model 有权
标题翻译：基于原色分级模型的图像预测
公开(公告)号：US20140037205A1
公开(公告)日：2014-02-06
申请号：US14110701
申请日：2012-04-13
申请人： Guan-Ming Su , Sheng Qu , Hubert Koepfer , Yufei Yuan , Samir Hulyalkar , Walter Gish
发明人： Guan-Ming Su , Sheng Qu , Hubert Koepfer , Yufei Yuan , Samir Hulyalkar , Walter Gish
IPC分类号： H04N7/26
CPC分类号： G06T5/50 , G06T5/009 , H04N1/6027 , H04N19/105 , H04N19/136 , H04N19/186 , H04N19/36
摘要： Inter-color image prediction is based on color grading modeling. Prediction is applied to the efficient coding of images and video signals of high dynamic range. Prediction models may include a color transformation matrix that models hue and saturation color changes and a non-linear function modeling color correction changes. Under the assumption that the color grading process uses a slope, offset, and power (SOP) operations, an example non linear prediction model is presented.
摘要翻译：彩色图像预测是基于颜色分级建模的。预测应用于高动态范围的图像和视频信号的有效编码。预测模型可以包括对色相和饱和度颜色变化进行建模的颜色变换矩阵和非线性函数建模颜色校正变化。在颜色分级过程使用斜率，偏移和功率（SOP）操作的假设下，呈现示例非线性预测模型。

6. 发明申请

US20140029675A1 Multiple Color Channel Multiple Regression Predictor 有权
标题翻译：多彩色多通道多回归预测器
公开(公告)号：US20140029675A1
公开(公告)日：2014-01-30
申请号：US14110694
申请日：2012-04-13
申请人： Guan-Ming Su , Sheng Qu , Hubert Koepfer , Yufei Yuan , Samir Hulyalkar
发明人： Guan-Ming Su , Sheng Qu , Hubert Koepfer , Yufei Yuan , Samir Hulyalkar
IPC分类号： H04N7/26
CPC分类号： H04N19/105 , G06F17/18 , H04N19/147 , H04N19/16 , H04N19/192 , H04N19/30 , H04N19/98
摘要： Inter-color image prediction is based on multi-channel multiple regression (MMR) models. Image prediction is applied to the efficient coding of images and video signals of high dynamic range. MMR models may include first order parameters, second order parameters, and cross-pixel parameters. MMR models using extension parameters incorporating neighbor pixel relations are also presented. Using minimum means-square error criteria, closed form solutions for the prediction parameters are presented for a variety of MMR models.
摘要翻译：彩色图像预测是基于多通道多元回归（MMR）模型。图像预测应用于高动态范围的图像和视频信号的有效编码。 MMR模型可以包括一阶参数，二阶参数和跨像素参数。还提出了使用包含相邻像素关系的扩展参数的MMR模型。使用最小均方误差准则，针对各种MMR模型提出了预测参数的闭合形式解。

7. 发明授权

US10298923B2 Efficient architecture for layered VDR coding 有权
公开(公告)号：US10298923B2
公开(公告)日：2019-05-21
申请号：US14116326
申请日：2012-05-11
申请人： Guan-Ming Su , Sheng Qu , Walter C. Gish , Zhen Li
发明人： Guan-Ming Su , Sheng Qu , Walter C. Gish , Zhen Li
IPC分类号： H04N19/105 , H04N19/30 , H04N19/186 , H04N19/187 , H04N19/85 , H04N19/98
摘要： In layered Visual Dynamic range (VDR) coding, inter-layer prediction requires several color-format transformations between the input VDR and Standard Dynamic Range (SDR) signals. Coding and decoding architectures are presented wherein inter-layer prediction is performed in the SDR-based color format, thus reducing computational complexity in both the encoder and the decoder, without compromising coding efficiency or coding quality.

8. 发明授权

US09374576B2 Fused region-based VDR prediction 有权
标题翻译：基于融合区域的VDR预测
公开(公告)号：US09374576B2
公开(公告)日：2016-06-21
申请号：US14122221
申请日：2012-05-21
申请人： Guan-Ming Su , Sheng Qu , Samir N. Hulyalkar
发明人： Guan-Ming Su , Sheng Qu , Samir N. Hulyalkar
IPC分类号： H04N7/12 , H04N19/105 , H04N19/50 , H04N19/176 , H04N19/46 , H04N19/30 , H04N19/593 , H04N19/187 , H04N19/583
CPC分类号： H04N19/105 , H04N19/176 , H04N19/187 , H04N19/30 , H04N19/46 , H04N19/50 , H04N19/583 , H04N19/593
摘要： An input image is divided into non-overlapping regions. For each of the non-overlapping regions, first output data is predicted with a first prediction function, parameters related thereto and region-specific input image data. For each region with prior-predicted neighbor regions, a pixel border portion, adjacent to the neighbor region, is defined. For the pixels in the defined border portion, second output data is predicted with a second prediction function, parameters related thereto, input image data from the border portion of the current region, and input prediction parameter data from the neighbor region. The first output prediction data is fused with the second output data to predict a final set of output prediction values.
摘要翻译：输入图像被分成非重叠区域。对于每个非重叠区域，以第一预测函数，与其相关的参数和区域特定的输入图像数据来预测第一输出数据。对于具有先前预测的相邻区域的每个区域，定义与相邻区域相邻的像素边界部分。对于定义的边界部分中的像素，用第二预测函数预测第二输出数据，与其相关的参数，来自当前区域的边界部分的输入图像数据，以及来自相邻区域的输入预测参数数据。第一输出预测数据与第二输出数据融合以预测最终的输出预测值组。

9. 发明申请

US20140098869A1 Fused Region-Based VDR Prediction 有权
标题翻译：基于融合区域的VDR预测
公开(公告)号：US20140098869A1
公开(公告)日：2014-04-10
申请号：US14122221
申请日：2012-05-21
申请人： Guan-Ming Su , Sheng Qu , Samir N. Hulyalkar
发明人： Guan-Ming Su , Sheng Qu , Samir N. Hulyalkar
IPC分类号： H04N7/26 , H04N7/32
CPC分类号： H04N19/105 , H04N19/176 , H04N19/187 , H04N19/30 , H04N19/46 , H04N19/50 , H04N19/583 , H04N19/593
摘要： An input image is divided into non-overlapping regions. For each of the non-overlapping regions, first output data is predicted with a first prediction function, parameters related thereto and region-specific input image data. For each region with prior-predicted neighbor regions, a pixel border portion, adjacent to the neighbor region, is defined. For the pixels in the defined border portion, second output data is predicted with a second prediction function, parameters related thereto, input image data from the border portion of the current region, and input prediction parameter data from the neighbor region. The first output prediction data is fused with the second output data to predict a final set of output prediction values.
摘要翻译：输入图像被分成非重叠区域。对于每个非重叠区域，以第一预测函数，与其相关的参数和区域特定的输入图像数据来预测第一输出数据。对于具有先前预测的相邻区域的每个区域，定义与相邻区域相邻的像素边界部分。对于定义的边界部分中的像素，用第二预测函数预测第二输出数据，与其相关的参数，来自当前区域的边界部分的输入图像数据，以及来自相邻区域的输入预测参数数据。第一输出预测数据与第二输出数据融合以预测最终的输出预测值组。

10. 发明申请

US20130039430A1 Guided Image Up-Sampling in Video Coding 有权
标题翻译：视频编码中的引导图像上采样
公开(公告)号：US20130039430A1
公开(公告)日：2013-02-14
申请号：US13569125
申请日：2012-08-07
申请人： Guan-Ming Su , Sheng Qu , Yin Peng , Yan Ye
发明人： Guan-Ming Su , Sheng Qu , Yin Peng , Yan Ye
IPC分类号： H04N7/12
CPC分类号： H04N19/44 , H04N19/117 , H04N19/137 , H04N19/186 , H04N19/187 , H04N19/33 , H04N19/46 , H04N19/59 , H04N19/80 , H04N19/86 , H04N19/89
摘要： An encoder receives a first image of a first spatial resolution and a second image of a second spatial resolution, wherein both the first image and the second image represent the same scene and the second spatial resolution is higher than the first spatial resolution. A filter is selected to up-sample the first image to a third image with a spatial resolution same as the second spatial resolution. The filtering coefficients for the up-sampling filter are computed by minimizing an error measurement (e.g., MSE) between pixel values of the second image and the third image. The computed set of filtering coefficients is signaled to a receiver (e.g., as metadata). A decoder receives the first image (or its approximation) and the metadata, and may up-sample the first image using the same filter and optimally selected filtering coefficients as those derived by the encoder.
摘要翻译：编码器接收第一空间分辨率的第一图像和第二空间分辨率的第二图像，其中第一图像和第二图像都表示相同的场景，并且第二空间分辨率高于第一空间分辨率。选择滤波器以将第一图像向第三图像进行上采样，其具有与第二空间分辨率相同的空间分辨率。通过最小化第二图像和第三图像的像素值之间的误差测量（例如，MSE）来计算上采样滤波器的滤波系数。所计算的滤波系数组被发送给接收机（例如，作为元数据）。解码器接收第一图像（或其近似值）和元数据，并且可以使用与编码器导出的滤波系数相同的滤波器和最佳选择的滤波系数来对第一图像进行采样。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式