Weighted normalized automatic white balancing

    公开(公告)号:US11436704B2

    公开(公告)日:2022-09-06

    申请号:US16742322

    申请日:2020-01-14

    Abstract: In order to more accurately white balance an image, weightings can be determined for pixels of an image when computing an illuminant color value of the image and/or a scene. The weightings can be based at least in part on the Signal-to-Noise Ratio (SNR) of the pixels. The SNR may be actual SNR or SNR estimated from brightness levels of the pixels. SNR weighting (e.g., SNR adjustment) may reduce the effect of pixels with high noise on the computed illuminant color value. For example, one or more channel values of the illuminant color value can be determined based on the weightings and color values of the pixels. One or more color gain values can be determined based on the one or more channel values of the illuminant color value and used to white balance the image.

    WEIGHTED NORMALIZED AUTOMATIC WHITE BALANCING

    公开(公告)号:US20200226720A1

    公开(公告)日:2020-07-16

    申请号:US16742322

    申请日:2020-01-14

    Abstract: In order to more accurately white balance an image, weightings can be determined for pixels of an image when computing an illuminant color value of the image and/or a scene. The weightings can be based at least in part on the Signal-to-Noise Ratio (SNR) of the pixels. The SNR may be actual SNR or SNR estimated from brightness levels of the pixels. SNR weighting (e.g., SNR adjustment) may reduce the effect of pixels with high noise on the computed illuminant color value. For example, one or more channel values of the illuminant color value can be determined based on the weightings and color values of the pixels. One or more color gain values can be determined based on the one or more channel values of the illuminant color value and used to white balance the image.

    LENS SHADING USING NON-RADIAL IMAGE CORRECTION

    公开(公告)号:US20240267647A1

    公开(公告)日:2024-08-08

    申请号:US18165159

    申请日:2023-02-06

    CPC classification number: H04N25/615 B60W60/0015 B60W2420/403

    Abstract: In various examples, lens shading image correction systems and applications using non-radial correction of residual radial shading error are provided. In some embodiments, lens shading image correction may be implemented using calibration parameters corresponding to radial lens shading correction, and calibration parameters corresponding to non-radial lens shading correction. In some embodiments, sensor data comprising an image frame may be captured using a sensor. Radial lens shading correction may be applied to the image frame to produce a residual shading profile, and non-radial lens shading correction may be applied to the residual shading profile to produce a calibrated image frame. Parameters for radial lens shading correction may be computed from a lens shading profile associated with the sensor, and parameters for non-radial lens shading correction may be computed based a residual shading profile produced from the radial lens shading correction.

    RGB-IR DATA PROCESSING FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

    公开(公告)号:US20230360178A1

    公开(公告)日:2023-11-09

    申请号:US17736648

    申请日:2022-05-04

    Abstract: A system, such as for use in an automobile, is configured to process image data that includes infrared values and visible light values (e.g., data generated by a red, green, blue, infrared (RGB-IR) sensor). The system determines how to blend IR data and visible light data together to generate optimal images according to current light levels. In embodiments, the system computes a scene detection value for the image data based on a comparison between the infrared values and the visible light values. The system can then determine an amount of infrared correction, a color correction factor, a color saturation factor, etc. to apply to the image data. The system then transforms the image data based on the amount of infrared correction, the color correction factor, the color saturation factor, etc. The transformed image data includes more information for low light scenes than is traditionally available, and thus produces higher quality images in embodiments.

Patent Agency Ranking