Image Sensor Exposure Timing for HDR Ghosting Distribution
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Solution Overview
Problem
High dynamic range image (HDRI) techniques suffer from poor quality due to moving objects causing flare and ghosting when images with different exposure times are fused.
Innovation Solution
A system and method for controlling exposure time periods of multiple image sensors to ensure that midpoints of exposure time periods in each exposure group satisfy a condition, ensuring even distribution of ghosting across moving objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If HDRI technique fuses images with different exposure times, then dynamic range is improved, but image quality deteriorates due to flare and ghosting from moving objects
Solution Approach 1:
The image sensor array is divided into multiple independently controllable image sensors, each capable of capturing images with different exposure times. This segmentation allows selective fusion of images from different sensors while maintaining quality control for moving object regions.
Solution Approach 2:
Different exposure time periods are applied to different spatial regions of the scene. For moving object regions, shorter exposure times are used to reduce ghosting, while for static regions, longer exposure times capture more detail. This local optimization resolves the contradiction between dynamic range and image quality.
2Adaptability or versatility
If exposure time periods differ across image sensors, then dynamic range coverage is improved, but ghosting distribution becomes concentrated rather than even
Solution Approach 1:
The patent introduces asymmetric time shifts among image sensors within an exposure group. By deliberately creating non-uniform exposure timing offsets, the ghosting artifacts from moving objects are distributed across multiple spatial locations in the fused image rather than concentrating in one area, improving overall image quality.
Solution Approach 2:
The exposure time periods are made dynamic and adjustable for each image sensor based on scene requirements. The system can adaptively modify exposure durations and timing offsets in real-time to optimize both dynamic range coverage and ghosting distribution characteristics.
Data Source
AI summary
A method for image acquisition may be provided. The method may include sending an exposure instruction to a plurality of image sensors. The method may further include controlling exposure time periods of at least one exposure group to obtain a plurality of frame images based on the exposure instruction. For each of the at least one exposure group, the exposure group may include a plurality of exposure regions corresponding to the plurality of image sensors, imaging positions corresponding to the plurality of exposure regions may be the same, and the exposure instruction may cause that a relationship between midpoints of exposure time periods of the plurality of exposure regions in the exposure group satisfies a condition.