公开(公告)号：US20240129646A1

公开(公告)日：2024-04-18

申请号：US18370441

申请日：2023-09-20

Applicant: Phase One A/S

Inventor： Lau NØRGAARD ,  Thomas ANDERSEN

IPC: H04N25/532 ,  H04N25/78

CPC classification number: H04N25/532 ,  H04N25/78

Abstract: In global shutter image sensors, the light shields are often not completely lightproof and incoming light causes continued generation of charges in the shielded storage units even after the global shutter functionality has ended exposure, such as during the readout of the recorded image. This ‘parasitic light’ degrades the recorded image. Disclosed is a method, performed by an imaging device with a global shutter image sensor, for recording an image with reduced degrading effects from parasitic light in the image sensor. The disclosed imaging device and related method combine the global shutter functionality of the global shutter image sensor with a shutter such as a mechanical shutter. A precise synchronisation of the closing of the shutter means that the shutter can block all incoming light—and thus stop parasitic light in the image sensor—shortly after the exposure is stopped by the global shutter image sensor. This allows the imaging device to record very short exposure images without the detrimental effects of parasitic light.

公开(公告)号：US20250020462A1

公开(公告)日：2025-01-16

申请号：US18764220

申请日：2024-07-04

Applicant: Phase One A/S

Inventor： Lau NØRGAARD ,  Thomas ANDERSEN ,  Poul NØRGÅRD ,  Michael ØLUND

IPC: G01C11/08

Abstract: Geographical maps, orthomosaics, 2D/3D models and other photogrammetry products are typically generated from RGB image data. This requires a conversion step from the captured raw format image to RGB. Such conversion can result in image artifacts, blurring and reduction of image resolution, loss of dynamic range, increase in image data size etc. A method is disclosed to avoid conversion into standard RGB image formats at the time of capture and to preserve the full data integrity and image quality all the way through the photogrammetry workflow. Having the raw format image data available at all stages in the workflow will make it possible to extract exactly the data needed at any step in this workflow without compromising the data for other steps. This leads to significant savings in terms of storage space, data transfer bandwidth and processing resource requirements.