Method and electronic device for rectifying an image

    公开(公告)号:US11750928B2

    公开(公告)日:2023-09-05

    申请号:US17727460

    申请日:2022-04-22

    CPC classification number: H04N23/6842 H04N23/45 H04N23/69

    Abstract: Provided is method for rectifying an image using an electronic device. The method includes simultaneously capturing a first image of a scene using a first image sensor and a second image of the scene using a second image sensor, a first field of view (FOV) of the first image sensor being different from a second FOV of the second image sensor; identifying a motion characteristic in the first image; determining a motion function based on one of the first image and a capture process of the first image that caused the motion characteristic in the first image; scaling the motion function from the first image by a scale of the first image sensor with respect to the second image sensor; and applying the scaled motion function onto the second FOV of the second image to obtain a rectified second image without the motion characteristic.

    Method and system for automatically managing operations of electronic device

    公开(公告)号:US11189281B2

    公开(公告)日:2021-11-30

    申请号:US16494533

    申请日:2018-03-19

    Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.
    Accordingly, the embodiments herein provide a method for managing operations of an electronic device. The method includes transmitting an input signal corrupted by noise to a trained model with a plurality of output states. Further, the method includes dynamically determining an entropy for the plurality of output states of the trained model. Further, the method includes determining whether the entropy exceeds a pre-defined threshold. Furthermore, the method includes automatically enabling an electronic device module of the electronic device in response to determining that the entropy exceeds the pre-defined threshold.

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