SEMICONDUCTOR MEMORY DEVICE AND METHOD OF MANUFACTURING THE SAME

    公开(公告)号:US20180358376A1

    公开(公告)日:2018-12-13

    申请号:US15982213

    申请日:2018-05-17

    Abstract: A semiconductor memory device includes a body conductive layer that includes a cell array portion and a peripheral circuit portion, an electrode structure on the cell array portion of the body conductive layer, vertical structures that penetrate the electrode structure, a residual substrate on the peripheral circuit portion of the body conductive layer, and a connection conductive pattern penetrating the residual substrate. The electrode structure includes a plurality of electrode that are stacked on top of each other. The vertical structures are connected to the cell array portion of the body conductive layer. The connection conductive pattern is connected to the peripheral circuit portion of the body conductive layer.

    THREE-DIMENSIONAL SEMICONDUCTOR DEVICES
    12.
    发明申请

    公开(公告)号:US20170352674A1

    公开(公告)日:2017-12-07

    申请号:US15684098

    申请日:2017-08-23

    Abstract: A three-dimensional semiconductor device includes an electrode structure on a substrate that includes a first region and a second region, the electrode structure including a ground selection electrode, cell electrodes, and a string selection electrode which are sequentially stacked on the substrate wherein the ground selection electrode, the cell electrodes, and the string selection electrode respectively include a ground selection pad, cell pads, and a string selection pad which define a stepped structure in the second region of the substrate, a plurality of dummy pillars penetrating each of the cell pads and a portion of the electrode structure under each of the cell pads, and a cell contact plug electrically connected to each of the cell pads, wherein each of the dummy pillars penetrates a boundary between adjacent cell pads, and wherein the adjacent cell pads share the dummy pillars.

    IMAGE PROCESSING DEVICES FOR SUPPRESSING COLOR FRINGE, AND IMAGE SENSOR MODULES AND ELECTRONIC DEVICES INCLUDING THE SAME
    13.
    发明申请
    IMAGE PROCESSING DEVICES FOR SUPPRESSING COLOR FRINGE, AND IMAGE SENSOR MODULES AND ELECTRONIC DEVICES INCLUDING THE SAME 有权
    用于抑制彩色图像的图像处理装置和图像传感器模块以及包括其的电子装置

    公开(公告)号:US20160180505A1

    公开(公告)日:2016-06-23

    申请号:US14741661

    申请日:2015-06-17

    Abstract: An image processing device includes a guided image filtering circuit and an image summation circuit. The guided image filtering circuit is configured to receive an input image including a green channel, a red channel and a blue channel, and to generate a corrected red channel and a corrected blue channel by applying a guided filter with respect to the red channel and the blue channel based on the green channel. The image summation circuit is configured to generate an output image by summing the green channel, the corrected red channel, and the corrected blue channel.

    Abstract translation: 图像处理装置包括引导图像滤波电路和图像求和电路。 引导图像滤波电路被配置为接收包括绿色通道,红色通道和蓝色通道的输入图像,并且通过对红色通道施加引导过滤器并且产生经校正的红色通道和校正的蓝色通道,并且 蓝色通道基于绿色通道。 图像求和电路被配置为通过将绿色通道,经校正的红色通道和校正的蓝色通道相加来产生输出图像。

    IMAGE PROCESSING DEVICES FOR SUPPRESSING COLOR FRINGE, AND IMAGE SENSOR MODULES AND ELECTRONIC DEVICES INCLUDING THE SAME
    14.
    发明申请
    IMAGE PROCESSING DEVICES FOR SUPPRESSING COLOR FRINGE, AND IMAGE SENSOR MODULES AND ELECTRONIC DEVICES INCLUDING THE SAME 有权
    用于抑制彩色图像的图像处理装置和图像传感器模块以及包括其的电子装置

    公开(公告)号:US20160171663A1

    公开(公告)日:2016-06-16

    申请号:US14741599

    申请日:2015-06-17

    CPC classification number: H04N5/23229 G06T5/006 G06T2207/10024 H04N9/045

    Abstract: In an image processing device, a color transformation circuit is configured to generate a color difference based on a first image of normal exposure and a second image of under exposure. A color fringe detection circuit is configured to detect color fringe in the first image, and to generate color fringe detection information based on the detected color fringe. A weight map formation circuit is configured to generate a weight map based on the color fringe detection information and the color difference. An image fusion circuit is configured to generate a third image, in which the detected color fringe is suppressed, based on the color difference and the weight map.

    Abstract translation: 在图像处理装置中,颜色变换电路被配置为基于正常曝光的第一图像和下曝光的第二图像来生成色差。 彩色条纹检测电路被配置为检测第一图像中的颜色条纹,并且基于检测到的颜色条纹来生成颜色条纹检测信息。 重量映射形成电路被配置为基于颜色条纹检测信息和色差生成权重映射。 图像融合电路被配置为基于色差和权重映射来生成其中检测到的颜色边缘被抑制的第三图像。

    TOF SENSOR INCLUDING DUEL EMITTING UNITS AND METHOD FOR CONTROLLING THEREOF

    公开(公告)号:US20240214701A1

    公开(公告)日:2024-06-27

    申请号:US18532244

    申请日:2023-12-07

    CPC classification number: H04N25/50 H04N25/706

    Abstract: Provided is a time of flight (ToF) sensor and a method for controlling the ToF sensor. The ToF sensor includes a first light emitter configured to output first light of a first pattern, a second light emitter configured to output second light of a second pattern, an image sensor including a plurality of pixels, and at least one processor configured to control the first light emitter and the second light emitter to sequentially output the first light and the second light, obtain, based on the output first light and second light being received through the image sensor by being reflected by a plurality of objects, a first image frame corresponding to the received first light and a second image frame corresponding to the received second light, and identify distances between the ToF sensor and the plurality of objects based on the first image frame and the second image frame.

    METHOD AND APPARATUS WITH IMAGE PROCESSING

    公开(公告)号:US20220188987A1

    公开(公告)日:2022-06-16

    申请号:US17383346

    申请日:2021-07-22

    Abstract: A method with image processing includes: generating a first surface normal image comprising surface normal vectors corresponding to pixels of a first depth image; and applying the first depth image and the first surface normal image to a first neural network, and acquiring a second depth image by changing the first depth image using the first neural network. The first neural network generates the second depth image to have an improved quality compared to the first depth image, based on an embedding vector that comprises a feature of the first depth image and a feature of the first surface normal image.

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