Ultrathin Camera Sensor Resolution via Movable Light-Transparent Module
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Solution Overview
Problem
Conventional camera sensors in ultrathin portable devices have limited photosensitive areas, resulting in low image resolution due to size constraints, which restricts the improvement of image quality.
Innovation Solution
A data acquiring method and electronic device that adjusts the position relationship between a light-transparent module and a sensing module using preset moving parameters to acquire multiple images, which are then processed to achieve a higher resolution through interpolation and composition, thereby overcoming the limitations of the photosensitive area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the photosensitive area of the sensor is increased to improve image resolution, then the image resolution is improved, but the device size and thickness increase, violating ultrathin requirements
Solution Approach 1:
The patent applies the dynamics principle by making the light-transparent module movable relative to the sensing module. The module can be adjusted between a first position (for normal ultrathin operation) and a second position (for high-resolution imaging). This dynamic adjustment allows the system to switch between different operational modes, enabling high resolution only when needed while maintaining ultrathin profile during normal use.
Solution Approach 2:
The patent utilizes the dimensionality change principle by introducing a movable dimension for the light-transparent module. Instead of increasing the photosensitive area in the planar dimensions (which would increase device size), the solution allows movement along the optical axis dimension. This enables the module to be positioned at different distances from the sensing module, effectively changing the imaging geometry to achieve higher resolution without increasing the device's footprint.
2Measurement precision
If multiple images are acquired and processed to improve resolution, then the image resolution is improved, but the acquisition time increases
Solution Approach 1:
The patent applies periodic action by acquiring multiple images at different positions of the light-transparent module in a systematic sequence. The module is adjusted to different positions (first position, second position, and intermediate positions), and images are captured at each position. This periodic sampling across different spatial configurations provides redundant information that can be processed to achieve super-resolution, while the structured approach minimizes total acquisition time compared to random sampling.
Data Source
AI summary
The disclosure discloses a data acquiring method and an electronic device thereof. The electronic device comprises an image acquisition unit, the image acquisition unit comprises a light-transparent module and a sensing module, and there is a first position relationship between the light-transparent module and the sensing module. The method comprises: obtaining a first image of a target scene acquired by the image acquisition unit, wherein an image resolution of the first image is first resolution; adjusting the image acquisition unit based on preset moving parameters; obtaining a second image of the target scene acquired by the image acquisition unit; obtaining a third image by processing the first image and the second image based on the moving parameters, wherein image resolution of the third image is third resolution and the third resolution is greater than the first resolution.


