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公开(公告)号：US09905196B2
公开(公告)日：2018-02-27
申请号：US15276626
申请日：2016-09-26
Applicant: NVIDIA Corporation
Inventor： Dawid Stanislaw Pajak , Felix Heide , Nagilla Dikpal Reddy , Mushfiqur Rouf , Jan Kautz , Kari Pulli , Orazio Gallo
CPC classification number: G09G5/02 , G06T3/4015 , G06T5/001 , G06T5/002 , G09G5/026 , G09G5/363 , G09G2320/0238 , G09G2320/0242 , G09G2320/0247 , G09G2320/066 , G09G2360/08
Abstract: A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.
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2.发明申请UNIFIED OPTIMIZATION METHOD FOR END-TO-END CAMERA IMAGE PROCESSING FOR TRANSLATING A SENSOR CAPTURED IMAGE TO A DISPLAY IMAGE 审中-公开用于将传感器捕获的图像转换为显示图像的端到端相机图像处理的统一优化方法公开(公告)号：US20170011710A1
公开(公告)日：2017-01-12
申请号：US15276626
申请日：2016-09-26
Applicant: NVIDIA Corporation
Inventor： Dawid Stanislaw Pajak , Felix Heide , Nagilla Dikpal Reddy , Mushfiqur Rouf , Jan Kautz , Kari Pulli , Orazio Gallo
CPC classification number: G09G5/02 , G06T3/4015 , G06T5/001 , G06T5/002 , G09G5/026 , G09G5/363 , G09G2320/0238 , G09G2320/0242 , G09G2320/0247 , G09G2320/066 , G09G2360/08
Abstract: A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.
Abstract translation: 公开了一种从观察图像确定潜像的计算机实现方法。 该方法包括在单个优化框架内实现多个图像处理操作，其中单个优化框架包括求解线性最小化表达式。 该方法还包括将线性最小化表达映射到至少一个非线性求解器上。 此外，该方法包括使用非线性求解器，迭代地求解线性最小化表达以从观察图像中提取潜像，其中线性最小化表达式包括：数据项和正则化项，其中正则化 术语包括多个非线性图像先验。
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公开(公告)号：US09407814B2
公开(公告)日：2016-08-02
申请号：US13782817
申请日：2013-03-01
Applicant: NVIDIA CORPORATION
Inventor： Dawid Stanislaw Pajak , Jongmin Baek , Kari Pulli
CPC classification number: H04N5/23216 , H04N5/225 , H04N5/23293 , H04N5/2621
Abstract: An approach is provided for performing back-end operations for camera control. In one example, a method includes the following: receiving a user edit via a user interface device that displays an interpretation of a scene at which a camera lens of the camera is pointing, wherein the user edit is based on user input that is associated with a selection region on the user interface device; generating an edits mask based on one or more matching image patches, which are based on the user edit and a high dynamic range (HDR) image generated by the camera; performing one or more tone mapping operations based on the edits mask and the HDR image in order to generate a tone mapped HDR image; and performing one or more metering operations based on the edits mask and the tone mapped HDR image in order to generate metering parameters for frame capturing operations.
Abstract translation: 提供了一种用于执行相机控制的后端操作的方法。 在一个示例中，一种方法包括：通过用户界面设备接收用户编辑，该用户界面设备显示摄像机的相机镜头指向的场景的解释，其中用户编辑基于与 用户界面设备上的选择区域; 基于基于用户编辑的一个或多个匹配图像片段和由相机生成的高动态范围（HDR）图像来生成编辑掩模; 基于编辑掩码和HDR图像执行一个或多个色调映射操作，以便生成色调映射的HDR图像; 并且基于编辑掩码和色调映射的HDR图像执行一个或多个计量操作，以便生成用于帧捕获操作的计量参数。
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4.发明公开公开(公告)号：US20240112376A1
公开(公告)日：2024-04-04
申请号：US17959940
申请日：2022-10-04
Applicant: NVIDIA Corporation
Inventor： Yuzhuo Ren , Dawid Stanislaw Pajak , Niranjan Avadhanam
CPC classification number: G06T11/001 , G06T11/60
Abstract: In various examples, color harmonization is applied to images of an environment in a reference light space. For example, different cameras on an ego-object may use independent capturing algorithms to generate processed images of the environment representing a common time slice using different capture configuration parameters. The processed images may be transformed into deprocessed images by inverting one or more stages of image processing to transform the processed images into a reference light space of linear light, and color harmonization may be applied to the deprocessed images in the reference light space. After applying color harmonization, corresponding image processing may be reapplied to the harmonized images using corresponding capture configuration parameters, the resulting processed harmonized images may be stitched into a stitched image, and a visualization of the stitched image may be presented (e.g., on a monitor visible to an occupant or operator of the ego-object).
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5.发明授权Efficient approximate-nearest-neighbor (ANN) search for high-quality collaborative filtering 有权高效近似最近邻（ANN）搜索高质量协同过滤公开(公告)号：US09454806B2
公开(公告)日：2016-09-27
申请号：US14632782
申请日：2015-02-26
Applicant: NVIDIA Corporation
Inventor： Dawid Stanislaw Pajak , Yun-Ta Tsai , Markus Steinberger
IPC: G06T5/00
CPC classification number: G06T5/002 , G06T2207/10024 , G06T2207/20021 , G06T2207/30201
Abstract: A computer implemented method of performing an approximate-nearest-neighbor search is disclosed. The method comprises dividing an image into a plurality of tiles. Further, for each of the plurality of tiles, perform the following in parallel on a processor: (a) dividing image patches into a plurality of clusters, wherein each cluster comprises similar images patches, and wherein the dividing continues recursively until a size of a cluster is below a threshold value; (b) performing a nearest-neighbor query within each of the plurality of clusters; and (c) performing collaborative filtering in parallel for each image patch, wherein the collaborative filtering aggregates and processes nearest neighbor image patches from a same cluster containing a respective image patch to form an output image.
Abstract translation: 公开了一种执行近似最近邻搜索的计算机实现方法。 该方法包括将图像划分成多个瓦片。 此外，对于多个瓦片中的每一个，在处理器上并行地执行以下操作：（a）将图像斑块分割成多个群集，其中每个群集包括相似的图像块，并且其中所述划分继续递归直到大小为 集群低于阈值; （b）在所述多个聚类中的每一个内执行最近邻查询; 以及（c）对于每个图像补丁并行执行协同过滤，其中所述协同过滤从包含相应图像补丁的相同集群聚集和处理最近邻图像补丁以形成输出图像。
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Patent Agency Ranking
6.发明申请SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR PERFORMING ONE-DIMESIONAL SEARCHES IN TWO-DIMENSIONAL IMAGES 审中-公开用于在二维图像中执行一维搜索的系统，方法和计算机程序产品公开(公告)号：US20150243048A1
公开(公告)日：2015-08-27
申请号：US14191332
申请日：2014-02-26
Applicant: NVIDIA Corporation
Inventor： Kihwan Kim , Dawid Stanislaw Pajak , Kari Antero Pulli
CPC classification number: G06K9/4652 , G06K9/4609 , G06K9/50 , G06K9/6202 , G06K9/6203
Abstract: A system, method, and computer program product are provided for implementing a search of a digital image along a set of paths. The method includes the steps of selecting a set of paths in an image and identifying at least one feature pixel in the set of paths by comparing gradients for each of the pixels in the set of paths. The set of paths includes at least one line of pixels in the image, and a total number of pixels in the set of paths is less than half of a number of pixels in the image.
Abstract translation: 提供了一种系统，方法和计算机程序产品，用于沿着一组路径实现数字图像的搜索。 该方法包括以下步骤：通过比较该组路径中的每个像素的梯度来选择图像中的一组路径并识别该组路径中的至少一个特征像素。 该组路径包括图像中的至少一行像素，并且该组路径中的像素总数小于图像中的像素数量的一半。
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公开(公告)号：US09576340B2
公开(公告)日：2017-02-21
申请号：US13727216
申请日：2012-12-26
Applicant: NVIDIA CORPORATION
Inventor： Dawid Stanislaw Pajak , David Luebke , Scott Saulters
Abstract: A technique for efficiently compressing rendered three-dimensional images in a remote rendering system adds a novel render-assisted prediction function to an existing video compression framework, such as the standard H.264/5 framework. Auxiliary rendering information is separated from rendering information used to describe a reference image by a server system. A client system may alter the auxiliary data and generate a new image based on the reference image and rendered scene information from the auxiliary data without creating additional network bandwidth or server workload.
Abstract translation: 用于在远程渲染系统中有效压缩渲染的三维图像的技术将新颖的渲染辅助预测功能添加到诸如标准H.264 / 5框架的现有视频压缩框架中。 辅助渲染信息与用于由服务器系统描述参考图像的渲染信息分离。 客户端系统可以改变辅助数据，并且从辅助数据基于参考图像和呈现的场景信息生成新图像，而不产生额外的网络带宽或服务器工作负载。
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8.发明授权Unified optimization method for end-to-end camera image processing for translating a sensor captured image to a display image 有权用于将传感器拍摄图像转换为显示图像的端到端相机图像处理的统一优化方法公开(公告)号：US09558712B2
公开(公告)日：2017-01-31
申请号：US14600507
申请日：2015-01-20
Applicant: NVIDIA Corporation
Inventor： Dawid Stanislaw Pajak , Felix Heide , Nagilla Dikpal Reddy , Mushfiqur Rouf , Jan Kautz , Kari Pulli , Orazio Gallo
CPC classification number: G09G5/02 , G06T3/4015 , G06T5/001 , G06T5/002 , G09G5/026 , G09G5/363 , G09G2320/0238 , G09G2320/0242 , G09G2320/0247 , G09G2320/066 , G09G2360/08
Abstract: A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.
Abstract translation: 公开了一种从观察图像确定潜像的计算机实现方法。 该方法包括在单个优化框架内实现多个图像处理操作，其中单个优化框架包括求解线性最小化表达式。 该方法还包括将线性最小化表达映射到至少一个非线性求解器上。 此外，该方法包括使用非线性求解器，迭代地求解线性最小化表达以从观察图像中提取潜像，其中线性最小化表达式包括：数据项和正则化项，其中正则化 术语包括多个非线性图像先验。
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9.发明授权System, method, and computer program product for joint color and depth encoding 有权系统，方法和计算机程序产品，用于联合颜色和深度编码公开(公告)号：US09355468B2
公开(公告)日：2016-05-31
申请号：US14498976
申请日：2014-09-26
Applicant: NVIDIA Corporation
Inventor： Dawid Stanislaw Pajak
IPC: G06K9/00 , G06T9/00 , H04N19/597
CPC classification number: G06T9/00 , H04N19/597
Abstract: A system and method are provided for performing joint color and depth encoding. Color data and depth data for an image is received. Based on the color data, confidence values are computed for the depth data and the depth data is encoded based on the confidence values to represent a correlated portion of the depth data and a decorrelated portion of the depth data. In one embodiment, the depth data comprises per-pixel vergence angles.
Abstract translation: 提供了一种执行联合颜色和深度编码的系统和方法。 接收图像的颜色数据和深度数据。 基于颜色数据，针对深度数据计算置信度值，并且基于置信度对深度数据进行编码，以表示深度数据的相关部分和深度数据的解相关部分。 在一个实施例中，深度数据包括每像素聚集角度。
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公开(公告)号：US20140028679A1
公开(公告)日：2014-01-30
申请号：US13727265
申请日：2012-12-26
Applicant: NVIDIA CORPORATION
Inventor： Dawid Stanislaw Pajak , David Luebke , Scott Saulters
IPC: G06T5/00
Abstract: A technique for efficiently compressing rendered three-dimensional images in a remote rendering system adds a novel render-assisted prediction function to an existing video compression framework, such as the standard H.264/5 framework. Auxiliary rendering information is separated from rendering information used to describe a reference image by a server system. A client system may alter the auxiliary data and generate a new image based on the reference image and rendered scene information from the auxiliary data without creating additional network bandwidth or server workload.
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