IMAGE SIGNAL PROCESSOR, IMAGE SENSOR, AND OPERATING METHOD OF THE IMAGE SENSOR

    公开(公告)号:US20240163578A1

    公开(公告)日:2024-05-16

    申请号:US18388019

    申请日:2023-11-08

    CPC classification number: H04N25/68 H04N25/78

    Abstract: An image signal processor, an image sensor, and an operating method of the image sensor are provided. The image sensor may include a pixel array including a plurality of sensing pixels each configured to convert a received light signal into an electrical signal, a readout circuit configured to convert the electrical signals into image data and output the image data, and an image signal processor configured to correct bad pixels occurring in a first pixel group of the image data, based on a neural network, encode position information representing a position of at least one bad pixel of the bad pixels to generate position data, and provide the position data to a first middle layer of a plurality of layers included in the neural network.

    Method of determining visual interference using a weighted combination of CIS and DVS measurement

    公开(公告)号:US12243296B2

    公开(公告)日:2025-03-04

    申请号:US17556081

    申请日:2021-12-20

    Abstract: The embodiments herein provide a method of obtaining a weighted combination of dynamic vision sensor (DVS) measurements and contact image sensor (CIS) measurements for determining visual inference in an electronic device, the method includes receiving, by the electronic device, a DVS image and a CIS image from the image sensor; determining, by the electronic device, a plurality of parameters associated with the DVS image and feature velocities of a plurality of CIS features present in the CIS image; determining, by the electronic device, a determined DVS feature confidence based on the plurality of parameters associated with the DVS image; determining, by the electronic device, a determined CIS feature confidence based on the feature velocities of the plurality of features present in the CIS image; and calculating, by the electronic device, a weighted visual inference based on the determined DVS feature confidence and the determined CIS feature confidence.

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