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1.
公开(公告)号:US20230336887A1
公开(公告)日:2023-10-19
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 , G06T3/40 , G06T1/60 , H04N25/13
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.
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公开(公告)号:US20240214511A1
公开(公告)日:2024-06-27
申请号:US18599324
申请日:2024-03-08
Applicant: Texas Instruments Incorporated
Inventor: Mihir Narendra MODY , Brijesh JADAV , Gang HUA , Niraj NANDAN , Rajasekhar Reddy ALLU , Ankur ANKUR , Mayank MANGLA
CPC classification number: H04N5/2628 , G06T3/40 , G06T7/12 , G06T7/60 , G06T11/00
Abstract: A technique for determining regions and block sizes for configuring a perspective transformation engine including determining a set of scale ratios for images captured by a camera, generating a scale ratio image based on the set of scale ratios, determining a set of boundary ranges for the scale ratio image, generating a binary scale ratio image using the set of scale ratios of the scale ratio image, determining a set of regions based on the set of boundary ranges for the binary scale ratio image, determining a block size for each region of the determined set of regions, and outputting the determined set of regions and the determined block sizes.
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公开(公告)号:US20240428365A1
公开(公告)日:2024-12-26
申请号:US18826385
申请日:2024-09-06
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor: Mihir Narendra MODY , Niraj NANDAN , Ankur ANKUR , Mayank MANGLA , Prithvi Shankar YEYYADI ANANTHA
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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公开(公告)号:US20230291864A1
公开(公告)日:2023-09-14
申请号:US17690829
申请日:2022-03-09
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor: Mihir Narendra MODY , Brijesh JADAV , Gang HUA , Niraj NANDAN , Rajasekhar Reddy ALLU , Ankur ANKUR , Mayank MANGLA
CPC classification number: H04N5/2628 , G06T3/40 , G06T7/12 , G06T7/60 , G06T11/00
Abstract: A technique for determining regions and block sizes for configuring a perspective transformation engine including determining a set of scale ratios for images captured by a camera, generating a scale ratio image based on the set of scale ratios, determining a set of boundary ranges for the scale ratio image, generating a binary scale ratio image using the set of scale ratios of the scale ratio image, determining a set of regions based on the set of boundary ranges for the binary scale ratio image, determining a block size for each region of the determined set of regions, and outputting the determined set of regions and the determined block sizes.
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5.
公开(公告)号:US20230199339A1
公开(公告)日:2023-06-22
申请号:US17555145
申请日:2021-12-17
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor: Gang HUA , Rajasekhar Reddy ALLU , Mihir Narendra MODY , Niraj NANDAN , Mayank MANGLA , Pandy KALIMUTHU
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.
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6.
公开(公告)号:US20250080868A1
公开(公告)日:2025-03-06
申请号:US18954910
申请日:2024-11-21
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.
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公开(公告)号:US20230196497A1
公开(公告)日:2023-06-22
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
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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