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公开(公告)号:US20250028477A1
公开(公告)日:2025-01-23
申请号:US18655716
申请日:2024-05-06
Applicant: Samsung Electronics Co., Ltd.
IPC: G06F3/06
Abstract: A system and method for implementing asynchronous READ/WRITE operations in a Double Data Rate (DDR) controller to reduce Dynamic Random Access Memory (DRAM) access latency. The system provides a program configurable interface to the DDR controller for pre-fetching data from a memory address of interest into cache, for serving an asynchronous READ operation. The asynchronous READ operation minimizes or reduces pre-charge latency, Row Address Select (RAS) latency, and Column Address Select (CAS) latency. The system provides a program configurable interface to the DDR controller the read operation or the write operation being for providing buffer data directly to the DDR controller to handle an asynchronous WRITE operation.
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公开(公告)号:US20200014836A1
公开(公告)日:2020-01-09
申请号:US16504978
申请日:2019-07-08
Applicant: Samsung Electronics Co., Ltd.
Inventor: Saikat Kumar DAS , Pradeep Kumar Sindhagatta KRISHNAPPA , Pranav Prakash DESHPANDE , Karthik SRINIVASAN
Abstract: A method and apparatus for capturing images with a high degree of movements in a captured scene are provided. The method includes receiving, by an image sensor, a sequence of images including a plurality of RGB image frames and color event data, generating a plurality of pseudo color filter array (CFA) frames based on the color event data, and generating dynamic images by combining the plurality of RGB image frames and the plurality of pseudo CFA frames.
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公开(公告)号:US20190279379A1
公开(公告)日:2019-09-12
申请号:US16296932
申请日:2019-03-08
Applicant: Samsung Electronics Co., Ltd.
Inventor: Karthik SRINIVASAN , Pradeep Kumar Sindhagatta KRISHNAPPA , Pranav Prakash DESHPANDE , Rituparna SARKAR
Abstract: A method and apparatus are provided for performing depth estimation of an object in an image of a scene. The method includes capturing the image of a scene; obtaining, by a sensor, from the image, pixel intensity data and event data; generating an event depth map using the event data, wherein the event data includes event map data of the image and event velocity data of the image; and generating a depth map for the object in the image using the event depth map and the pixel intensity data.
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