公开(公告)号：US09756222B2

公开(公告)日：2017-09-05

申请号：US13927565

申请日：2013-06-26

Applicant: NVIDIA Corporation

Inventor： Brian Cabral ,  Ricardo Motta ,  Mitchell Harwell

IPC: H04N1/60 ,  H04N9/73

CPC classification number: H04N1/6027 ,  H04N9/735

Abstract: Embodiments of the present invention are operable to perform automatic white balancing operations on images captured by a camera system through the use of weights derived through crowdsourcing procedures. Embodiments of the present invention use crowdsourced weight data resident on the camera system in combination with sampled image data of a captured image to determine a likely illuminant source. When performing automatic white balancing operations on the captured image, embodiments of the present invention may also compute a confidence score which may present the user with a choice to either use the likely illuminant determined using the crowdsourced weights or the camera system's default or normal automatic white balancing correction algorithm.

公开(公告)号：US09832388B2

公开(公告)日：2017-11-28

申请号：US14451031

申请日：2014-08-04

Applicant: NVIDIA Corporation

Inventor： Ricardo Motta ,  Brian Cabral ,  Sean Pieper ,  Ross Cunniff

IPC: H04N5/235 ,  G06T3/40 ,  G06T5/00 ,  H04N5/355 ,  G06T5/50 ,  H04N9/04 ,  H04N9/64 ,  H04N9/76

CPC classification number: H04N5/2355 ,  G06T3/4015 ,  G06T3/4069 ,  G06T5/007 ,  G06T5/009 ,  G06T5/50 ,  G06T2200/12 ,  G06T2200/32 ,  G06T2207/10004 ,  G06T2207/10024 ,  G06T2207/10144 ,  G06T2207/20208 ,  G06T2207/20221 ,  G06T2210/61 ,  H04N5/2353 ,  H04N5/35536 ,  H04N5/35554 ,  H04N5/35563 ,  H04N9/045 ,  H04N9/64 ,  H04N9/76

Abstract: Systems and methods for generating high dynamic images from interleaved Bayer array data with high spatial resolution and reduced sampling artifacts. Bayer array data are demosaiced into components of the YUV color space before deinterleaving. The Y component and the UV components can be derived from the Bayer array data through demosiac convolution processes. A respective convolution is performed between a convolution kernel and a set of adjacent pixels of the Bayer array that are in the same color channel. A convolution kernel is selected based the mosaic pattern of the Bayer array and the color channels of the set of adjacent pixels. The Y data and UV data are deinterleaved and interpolated into frames of short exposure and long exposures in the second color space. The short exposure and long exposure frames are then blended and converted back to a RGB frame representing a high dynamic range image.

公开(公告)号：US09826208B2

公开(公告)日：2017-11-21

申请号：US13927405

申请日：2013-06-26

Applicant: NVIDIA Corporation

Inventor： Brian Cabral ,  Ricardo Motta ,  Mitchell Harwell

IPC: H04N9/73 ,  G06K9/62

CPC classification number: H04N9/735 ,  G06K9/6254

Abstract: Embodiments of the present invention are operable to generate a set of weights derived through crowdsourcing procedures for use in automatically performing white balancing operations on images captured by a digital camera system. Embodiments of the present invention are operable to generate a set of images which are illuminated with known and different illuminants. Using crowdsourcing procedures, embodiments of the present invention gather user feedback concerning which images from the set of images adjusted by the known illuminants are considered to be the most aesthetically pleasing. Images selected by the users are then stored within a database of selected images. Using a learning engine, embodiments of the present invention may then produce a set of weights based on the user selected images for use in determining a likely illuminant when performing automatic white balancing operations performed on the camera system.

公开(公告)号：US09414052B2

公开(公告)日：2016-08-09

申请号：US14301253

申请日：2014-06-10

Applicant: NVIDIA Corporation

Inventor： Brian Cabral ,  Hu He ,  Elena Lamburn ,  Sohei Takemoto

IPC: H04N17/00 ,  H04N5/357 ,  G06T17/30

CPC classification number: H04N17/00 ,  G06T17/30 ,  H04N5/3572

Abstract: A system and method for correcting image data. Embodiments of the present invention provide calibration and image correction to overcome various lens effects including lens shading and lens imperfections. In one embodiment, the correction of image data is performed via utilization of a spline surface (e.g., Bezier surface). The use of spline surfaces facilitates efficient hardware implementation. The image correction may be performed on a per channel and illumination type basis. In another embodiment, the present invention provides a method for determine a spline surface to be used for calibrating an image signal processor to be used in correcting image data.

Abstract translation: 一种用于校正图像数据的系统和方法。 本发明的实施例提供校准和图像校正以克服包括镜头遮蔽和镜头缺陷在内的各种镜头效果。 在一个实施例中，图像数据的校正是通过使用样条曲面（例如Bezier曲面）来执行的。 使用花键表面有助于高效的硬件实现。 可以在每个通道和照明类型的基础上执行图像校正。 在另一个实施例中，本发明提供一种用于确定用于校准要用于校正图像数据的图像信号处理器的样条曲面的方法。