Method for improving image quality in images acquired by a near-infrared sensitive video camera and such a camera

    公开(公告)号:US10484622B2

    公开(公告)日:2019-11-19

    申请号:US15992856

    申请日:2018-05-30

    Applicant: Axis AB

    Inventor: Jimmie Jönsson

    Abstract: A near-infrared sensitive video camera comprises a control unit configured to: dynamically detect a setting of the camera, the setting being one or more of: a zoom level, a focus setting and a setting of an IR-illuminator of camera. The control unit dynamically acquires a gain setting map for an image sensor, the acquired gain setting map being associated with the dynamically detected setting of the camera and comprising individual gain settings of the image sensor. Dynamically acquiring the gain setting map comprises accessing a database of gain setting maps associated with specific settings of the camera and on the dynamically detected setting of the camera; and dynamically adjusting a gain setting of the image sensor based on the acquired gain setting map.

    Black level drift
    2.
    发明授权

    公开(公告)号:US11800040B2

    公开(公告)日:2023-10-24

    申请号:US17326332

    申请日:2021-05-21

    Applicant: Axis AB

    CPC classification number: H04N5/165 H04N5/57 H04N25/63 H04N9/64

    Abstract: The present disclosure relates to a method performed by a deviation analyzing system (1) for black level drift assessment of a digital camera image sensor (21). The deviation analyzing system measures (1001) for pixels of an image captured by the image sensor, a respective luminance value and corresponding chromaticity value of each pixel. The deviation analyzing system further determines (1002) a respective average chromaticity value for differing luminance levels of the measured luminance values, based on for each luminance level averaging the corresponding measured chromaticity values. Moreover, the deviation analyzing system determines (1003), when the respective average chromaticity values of a range (4) of luminance levels indicate—to a predeterminable extent—chromaticity deviations (5) from the respective average chromaticity values (6) of other luminance levels (7), that a black level setting of the image sensor is drifted from a true black level.
    The disclosure also relates to a deviation analyzing system in accordance with the foregoing, a digital camera comprising such a deviation analyzing system, and a respective corresponding computer program product and non-volatile computer readable storage medium.

    Method for assessing ambient light during night mode image acquisition

    公开(公告)号:US11611812B2

    公开(公告)日:2023-03-21

    申请号:US17169597

    申请日:2021-02-08

    Applicant: Axis AB

    Abstract: A method for assessing an ambient light level during video acquisition with a video camera is provided. The video camera is operably connected with an IR illuminator, and having a day mode in which an IR-cut filter is arranged in front of an image sensor and a night mode in which the IR-cut filter is not arranged in front of the image sensor. The method comprises: acquiring a stream of images with the video camera in night mode, with the IR illuminator having a first illumination output level, and then reducing an output level of the IR illuminator to a predetermined illumination output level during acquisition of a sequence of a predetermined number of consecutive image frames within the image stream, and then assessing a measure representative of an ambient light level from an evaluation of the sequence of image frames.

    Method and system for motion segmentation

    公开(公告)号:US11631183B2

    公开(公告)日:2023-04-18

    申请号:US17485514

    申请日:2021-09-27

    Applicant: Axis AB

    Abstract: The present disclosure relates to a method of motion segmentation (100) in a video stream. The method comprises the steps of: acquiring (101) a sequence of image frames; dividing (102) a first frame (401) into a plurality of image blocks (403); comparing (103) each image block (403) against a corresponding reference image block (404) and providing a measure of dissimilarity; for image blocks having a measure of dissimilarity less than a threshold: discarding (104a) the image blocks, and for image blocks having a measure of dissimilarity greater than the threshold: keeping (104b) the image blocks and further dividing the image blocks into a new plurality of image blocks (405); repeating the steps of dividing (102) and comparing (103) until a stop condition is met (105a); generating (106) a motion mask (407) indicating areas of movement (408).

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