IN-LINE CHROMATIC ABERRATION CORRECTION IN WIDE DYNAMIC RANGE (WDR) IMAGE PROCESSING PIPELINE

    公开(公告)号:US20230336887A1

    公开(公告)日:2023-10-19

    申请号:US18343018

    申请日:2023-06-28

    CPC classification number: H04N25/611 G06T3/4015 G06T1/60 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

    公开(公告)号:US20240428365A1

    公开(公告)日:2024-12-26

    申请号:US18826385

    申请日:2024-09-06

    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.

    IN-LINE CHROMATIC ABERRATION CORRECTION IN WIDE DYNAMIC RANGE (WDR) IMAGE PROCESSING PIPELINE

    公开(公告)号:US20230199339A1

    公开(公告)日:2023-06-22

    申请号:US17555145

    申请日:2021-12-17

    CPC classification number: H04N9/04517 G06T1/60 G06T3/4015 H04N9/04551

    Abstract: In the advanced driver-assistance systems (ADAS) field, RAW sensor image processing for machine vision (MV) applications can be of critical importance. Due to red/green/blue (RGB) image components being focused by the lens at different locations in image plane, the lateral chromatic aberration (LCA) 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) modules. In some embodiments, an in-pipeline CAC design is used that: is configured to perform on-the-fly CAC without any out-of-pipeline memory traffic; enables use of wide dynamic range (WDR) sensors; uses bicubic interpolation; supports vertical and horizontal chromatic aberration red/blue color channel offsets, reduces CAC line memory requirements, and supports flexible look-up table (LUT) down-sampling factors to improve the spatial precision of correction and accommodate popular image sensor resolutions.

    IN-LINE CHROMATIC ABERRATION CORRECTION IN WIDE DYNAMIC RANGE (WDR) IMAGE PROCESSING PIPELINE

    公开(公告)号:US20250080868A1

    公开(公告)日:2025-03-06

    申请号:US18954910

    申请日:2024-11-21

    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

    公开(公告)号:US20230196497A1

    公开(公告)日:2023-06-22

    申请号:US17556161

    申请日:2021-12-20

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

    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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