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    Determination of luminance values using image signal processing pipeline
    1.
    发明授权
    Determination of luminance values using image signal processing pipeline 有权

    公开(公告)号：US11637998B1

    公开(公告)日：2023-04-25

    申请号：US17119731

    申请日：2020-12-11

    申请人： NVIDIA Corporation

    发明人： Sean Midthun Pieper ,  Robin Brian Jenkin

    IPC分类号： H04N9/797 ,  H04N5/235 ,  G06T11/00 ,  H04N5/232 ,  H04N1/60

    摘要： Apparatuses, systems, and techniques to receive, at one or more processors associated with an image signal processing (ISP) pipeline for a camera, an image generated using an image sensor of the camera, wherein the image comprises a plurality of channels associated with color information of the image; process, by the one or more processors, the plurality of channels of the image to generate a plurality of luminance and/or radiance values; generate, by the one or more processors, an updated version of the image using the plurality of luminance and/or radiance values; and output the updated version of the image.

    Auto White Balance Adjusting Method and Auto White Balance Adjusting System for Calibrating Images by Using Dual Color Spaces
    2.
    发明申请
    Auto White Balance Adjusting Method and Auto White Balance Adjusting System for Calibrating Images by Using Dual Color Spaces 有权

    公开(公告)号：US20220329769A1

    公开(公告)日：2022-10-13

    申请号：US17540160

    申请日：2021-12-01

    申请人： WELTREND SEMICONDUCTOR INC.

    发明人： Te-Wei Hsu ,  Hsuan-Ying Chen ,  Chun-Ying Li

    IPC分类号： H04N9/73 ,  H04N9/793 ,  H04N9/797

    摘要： An auto white balance adjusting method includes determining a white pixel area according to a standard of a first color space, selecting a plurality of pixels of an image according to the white pixel area, generating an average color value of the plurality of pixels in the first color space, converting the average color value in the first color space to three primary color gains in a second color space, generating three primary color target gains according to the three primary color gains and a color temperature curve, and gradually adjusting a white balance of the image to meet the three primary color target gains according to the average color value in the first color space and the three primary color gains in the second color space. The first color space and the second color space are different.

    IMAGE SENSOR
    3.
    发明申请
    IMAGE SENSOR 有权

    公开(公告)号：US20220232179A1

    公开(公告)日：2022-07-21

    申请号：US17715161

    申请日：2022-04-07

    申请人： SAMSUNG ELECTRONICS CO., LTD.

    发明人： Wontak CHOI ,  Kwi Sung YOO ,  Jaejin JUNG

    IPC分类号： H04N5/353 ,  H04N9/77 ,  H04N9/04 ,  H04N9/797 ,  H04N9/83 ,  H04N5/355

    摘要： An image sensor includes a first unit pixel including a first sub-pixel and a second sub-pixel, a second unit pixel including a third sub-pixel and a fourth sub-pixel, a timing controller configured to apply a first effective integration time to the first sub-pixel and the fourth sub-pixel, such that a first sensing signal and a fourth sensing signal are generated from the first sub-pixel and the fourth sub-pixel, respectively, and to apply a second effective integration time shorter than the first effective integration time to the second sub-pixel and the third sub-pixel, such that a second sensing signal and a third sensing signal are generated from the second sub-pixel and the third sub-pixel, respectively, and an analog-to-digital converter configured to perform an averaging operation on the first sensing signal and the fourth sensing signal or on the second sensing signal and the third sensing signal.

    IMAGE PROCESSING APPARATUS, IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
    4.
    发明申请
    IMAGE PROCESSING APPARATUS, IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM 审中-公开

    公开(公告)号：US20200077069A1

    公开(公告)日：2020-03-05

    申请号：US16556716

    申请日：2019-08-30

    申请人： CANON KABUSHIKI KAISHA

    发明人： Emi Morotomi

    IPC分类号： H04N9/797 ,  G06K9/00 ,  H04N9/793 ,  H04N19/146 ,  G06K9/20

    摘要： There is provided an image processing apparatus. An obtaining unit obtains a first image to which tone conversion processing conforming to a first input/output characteristic having a first maximum output luminance value has been applied. A generation unit generates first correction information for correcting a luminance value of the first image based on a difference regarding an output luminance value between the first input/output characteristic and a second input/output characteristic having a second maximum output luminance value, and on second correction information for correcting a luminance value of a second image to which tone conversion processing conforming to the second input/output characteristic has been applied. A correction unit corrects a luminance value of the first image in conformity to the first correction information.

    APPARATUS AND METHODS FOR TRACKING SALIENT FEATURES
    9.
    发明申请
    APPARATUS AND METHODS FOR TRACKING SALIENT FEATURES 审中-公开
    跟踪特征的装置和方法

    公开(公告)号：US20160086051A1

    公开(公告)日：2016-03-24

    申请号：US14637164

    申请日：2015-03-03

    申请人： Brain Corporation

    发明人： Filip Piekniewski ,  Micah Richert ,  Dimitry Fisher

    IPC分类号： G06K9/46 ,  G06T3/00 ,  H04N9/797 ,  G06T7/40 ,  G06T7/00 ,  G06T3/40 ,  G06T7/20

    CPC分类号： G06T7/292 ,  G06K9/3241 ,  G06K9/4623 ,  G06K9/4642 ,  G06K9/4652 ,  G06K9/4671 ,  G06K9/48 ,  G06T7/20 ,  G06T7/246 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/20164 ,  G06T2207/30241 ,  G06T2215/16 ,  H04N9/7973

    摘要： Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.

    摘要翻译： 用于检测和利用数字图像显着性的装置和方法。 在一个实现中，可以基于像素特性的分析来检测显着对象。 最常出现的像素值可能被认为是显着的。 图像中的像素值可以与参考进行比较。 可以基于参考颜色和像素颜色之间的差来确定颜色距离。 当确定多通道图像中的显着性时，可以缩放各个图像通道。 可以分析高显着性的区域以确定对象位置，形状和/或颜色。 为了提高检测性能（例如，减少误报数量），多重显着图可以被相加或乘法组合。 本文描述的方法可以利用较少的确定资源来实现对物体的鲁棒跟踪。 下面描述的方法的有效实现可以允许它们例如在机器人（或自主车辆）或移动确定平台上使用。