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    Method and Apparatus for Automatic Exposure
    15.
    发明申请
    Method and Apparatus for Automatic Exposure 有权

    公开(公告)号：US20230100077A1

    公开(公告)日：2023-03-30

    申请号：US17491382

    申请日：2021-09-30

    Applicant: Texas Instruments Incorporated

    Inventor： Gunawath Dilshan Godaliyadda ,  Mayank Mangla ,  Gang Hua

    IPC: H04N5/235

    Abstract: A method for automatic exposure (AE) control is provided that includes receiving statistics for AE control for an image from an image signal processor (ISP) coupled to an image sensor generating the image, computing an exposure value at a current time t (EV(t)) using a cost function based on target characteristics of an image, wherein computation of the cost function uses the statistics, and computing AE settings for the image sensor based on EV(t).

    Multi camera image processing
    17.
    发明授权
    Multi camera image processing 有权

    公开(公告)号：US11057573B2

    公开(公告)日：2021-07-06

    申请号：US16226085

    申请日：2018-12-19

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Shashank Dabral ,  Gang Hua ,  Mayank Mangla

    IPC: H04N5/265 ,  H04N5/247 ,  G06T7/80 ,  H04N5/235 ,  H04N5/268 ,  G06T7/90 ,  H04N5/232 ,  H04N9/04 ,  H04N5/225

    Abstract: A system on a chip (SoC) implementing dynamic grouping of multiple cameras in an image processing system is disclosed. The SoC includes an image signal processor (ISP) configured to receive a signal corresponding to an image from two or more cameras, dynamically group the cameras into groups based on a measured view brightness and/or color temperature observed by each of the cameras, and assign cameras with a group of the groups to a same exposure/gain setting. The SoC further includes a statistics engine configured to receive the image signals and statistics related to the image signals from the ISP and determine a measurement of image brightness and/or color temperature of each image based on the image signals for forwarding to the ISP.

    RGBIR color filter image processing with lens shading correction
    18.
    发明授权
    RGBIR color filter image processing with lens shading correction 有权

    公开(公告)号：US12302007B2

    公开(公告)日：2025-05-13

    申请号：US18147964

    申请日：2022-12-29

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Hrushikesh Garud ,  Rajasekhar Allu ,  Gang Hua ,  Jing-Fei Ren ,  Mayank Mangla ,  Niraj Nandan ,  Mihir Mody ,  Pandy Kalimuthu

    IPC: H04N23/76 ,  H04N23/11 ,  H04N23/667 ,  H04N23/81 ,  H04N23/84

    Abstract: A system is provided. The system generally includes a first processor configured to receive image input data from a red-green-blue infrared (RGBIR) sensor. The first processor of the system is configured to generate a first intermediate image data from the image input data. The system generally includes a second processor. The second processor of the system is configured to generate a second intermediate image data that includes red-green-blue (RGB) image data from the first intermediate image data, and to generate a third intermediate image data that includes infrared (IR) image data from the first intermediate image data. The system generally includes a third processor. The third processor of the system is configured to process the third intermediate image data. The system generally includes a fourth processor. The fourth processor of the system is configured to process the second image data.

    In-line chromatic aberration correction in wide dynamic range (WDR) image processing pipeline
    19.
    发明授权
    In-line chromatic aberration correction in wide dynamic range (WDR) image processing pipeline 有权

    公开(公告)号：US12192653B2

    公开(公告)日：2025-01-07

    申请号：US18343018

    申请日：2023-06-28

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Gang Hua ,  Rajasekhar Reddy Allu ,  Mihir Narendra Mody ,  Niraj Nandan ,  Mayank Mangla ,  Pandy Kalimuthu

    IPC: H04N25/611 ,  G06T1/60 ,  G06T3/4015 ,  H04N25/13

    Abstract: In an advanced driver-assistance system (ADAS), RAW sensor image processing for a machine vision (MV) application is important. Due to different color, e.g., red/green/blue (RGB), color components, being focused by the lens at different locations in image plane, the lateral chromatic aberration phenomenon may sometimes be observed, which causes false color around edges in the final image output, especially for high contrast edges, which can impede MV applications. Disclosed herein are low-latency, efficient, optimized designs for chromatic aberration correction (CAC) components. An in-pipeline CAC design may be used to perform on-the-fly CAC without any out-of-pipeline memory traffic; enable use of wide dynamic range (WDR) sensors; uses bicubic interpolation; support vertical and horizontal chromatic aberration color channel offsets, reduce CAC line memory requirements, and support flexible look-up table (LUT) down-sampling factors to improve the spatial precision of correction and accommodate popular image sensor resolutions.

    Fault detection in a real-time image pipeline
    20.
    发明授权
    Fault detection in a real-time image pipeline 有权

    公开(公告)号：US12125122B2

    公开(公告)日：2024-10-22

    申请号：US17556161

    申请日：2021-12-20

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Mihir Narendra Mody ,  Niraj Nandan ,  Ankur Ankur ,  Mayank Mangla ,  Prithvi Shankar Yeyyadi Anantha

    IPC: G06T1/20 ,  G06F9/48 ,  G06F11/10 ,  G06T1/60

    CPC classification number: G06T1/20 ,  G06F9/4812 ,  G06F11/1004 ,  G06T1/60

    Abstract: A technique including receiving an image stream for processing; processing the received image stream in a real time mode of operation; outputting an indication that an image processing pipeline has begun processing the received image stream; receiving, in response to the indication, first configuration information associated with test data for testing the image processing pipeline; switching the image processing pipeline to a non-real time mode of operation to process the test data based on the first configuration information during a vertical blanking period of the received image stream; loading the test data from an external memory; switching an input of the image processing pipeline from the image stream to the test data; determining a checksum based on the processed test data; comparing the determined checksum to an expected checksum to determine that the test data was successfully processed; and outputting an indication that the test data was successfully processed.

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