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    Imaging systems and methods with pixel sensitivity adjustments by adjusting demodulation signal
    11.
    发明授权
    Imaging systems and methods with pixel sensitivity adjustments by adjusting demodulation signal 有权
    通过调整解调信号调整像素敏感度的成像系统和方法

    公开(公告)号：US09277136B2

    公开(公告)日：2016-03-01

    申请号：US14210369

    申请日：2014-03-13

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Ilia Ovsiannikov ,  Gregory M. Waligorski ,  Deokha Shin ,  Wang-Hyun Kim ,  Yibing M. Wang ,  Hongyu Wang

    IPC: H04N5/235

    CPC classification number: H04N5/2353 ,  G01S17/89

    Abstract: Imaging systems, such as time-of-flight imaging systems, and methods with pixel sensitivity adjustments. An embodiment includes a method, comprising: for a plurality of pixels having a first output and a second output, measuring the first outputs and the second outputs in response to a demodulation signal; and adjusting the demodulation signal such that a combination of the first outputs is substantially similar to a combination of the second outputs.

    Abstract translation: 成像系统，如飞行时间成像系统，以及具有像素灵敏度调整的方法。 实施例包括一种方法，包括：对于具有第一输出和第二输出的多个像素，响应于解调信号测量第一输出和第二输出; 以及调整所述解调信号，使得所述第一输出的组合基本上类似于所述第二输出的组合。

    Non-uniform quantization of pre-trained deep neural network
    17.
    发明授权
    Non-uniform quantization of pre-trained deep neural network 有权

    公开(公告)号：US11710043B2

    公开(公告)日：2023-07-25

    申请号：US17744601

    申请日：2022-05-13

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hui Chen ,  Ilia Ovsiannikov

    IPC: G06N3/04 ,  G06N3/082

    CPC classification number: G06N3/082 ,  G06N3/04

    Abstract: A system and a method of quantizing a pre-trained neural network, includes determining by a layer/channel bit-width determiner for each layer or channel of the pre-trained neural network a minimum quantization noise for the layer or the channel for each master bit-width value in a predetermined set of master bit-width values; and selecting by a bit-width selector for the layer or the channel the master bit-width value having the minimum quantization noise for the layer or the channel. In one embodiment, the minimum quantization noise for the layer or the channel is based on a square of a range of weights for the layer or the channel that is multiplied by a constant to a negative power of a current master bit-width value.

    Non-uniform quantization of pre-trained deep neural network
    18.
    发明授权
    Non-uniform quantization of pre-trained deep neural network 有权

    公开(公告)号：US11348009B2

    公开(公告)日：2022-05-31

    申请号：US16181326

    申请日：2018-11-05

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hui Chen ,  Ilia Ovsiannikov

    IPC: G06N3/08 ,  G06N3/04

    Abstract: A system and a method of quantizing a pre-trained neural network, includes determining by a layer/channel bit-width determiner for each layer or channel of the pre-trained neural network a minimum quantization noise for the layer or the channel for each master bit-width value in a predetermined set of master bit-width values; and selecting by a bit-width selector for the layer or the channel the master bit-width value having the minimum quantization noise for the layer or the channel. In one embodiment, the minimum quantization noise for the layer or the channel is based on a square of a range of weights for the layer or the channel that is multiplied by a constant to a negative power of a current master bit-width value.

    Time-resolving image sensor for range measurement and 2D greyscale imaging
    19.
    发明授权
    Time-resolving image sensor for range measurement and 2D greyscale imaging 有权

    公开(公告)号：US11294039B2

    公开(公告)日：2022-04-05

    申请号：US16140529

    申请日：2018-09-24

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Yibing Michelle Wang ,  Lilong Shi ,  Ilia Ovsiannikov

    IPC: G01S7/4863 ,  G04F10/00 ,  G01S17/89 ,  G01S7/4865

    Abstract: An image sensor includes a time-resolving sensor and a processor. The time-resolving sensor outputs a first signal and a second signal pair in response detecting one or more photons that have been reflected from an object. A first ratio of a magnitude of the first signal to a sum of the magnitude of the first signal and a magnitude of the second signal is proportional to a time of flight of the one or more detected photons. A second ratio of the magnitude of the second signal to the sum of the magnitude of the first signal and the magnitude of the second signal is proportional to the time of flight of the one or more detected photons. The processor determines a surface reflectance of the object where the light pulse has been reflected based on the first signal and the second signal pair and may generate a grayscale image.

    Mixed-precision compression with random access
    20.
    发明授权
    Mixed-precision compression with random access 有权

    公开(公告)号：US11271588B2

    公开(公告)日：2022-03-08

    申请号：US17237038

    申请日：2021-04-21

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Ilia Ovsiannikov

    IPC: H03M7/00 ,  H03M7/30 ,  G06F9/30 ,  H04L5/02 ,  G06F9/38 ,  G06N3/04 ,  G06N3/08 ,  G06F17/11

    Abstract: A data compressor includes a zero-value remover, a zero bit mask generator and a non-zero values packer. The zero-value remover receives 2N bit streams of values and outputs 2N non-zero-value bit streams having zero values removed from each respective bit stream based on a selected granularity of compression for values contained in the bit streams. The zero bit mask generator receives the 2N bit streams of values and generates a zero bit mask corresponding to the selected granularity of compression. Each zero bit mask indicates a location of a zero value based on the selected granularity of compression. The non-zero values packer receives the 2N non-zero-value bit streams and forms at least one first group of packed non-zero values.

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