Prism Rotation ROI Correction for Foldable Camera 3A Accuracy
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Solution Overview
Problem
Electronic devices with foldable camera modules experience distortion and rotation errors in images due to excessive movement of the prism, leading to inaccuracies in autofocus, exposure, and white balance when the amount of rotation exceeds specified ranges, causing background data to be extracted instead of subject data.
Innovation Solution
The electronic device includes a sensor unit to detect the amount of prism rotation, corrects the region of interest based on this detection, and performs functions like autofocus and exposure setting accurately by determining and adjusting the region of interest using a pre-stored table.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the prism rotates within a small range, then the distortion and rotation of the subject are small, but the scanning capability is limited
Solution Approach 1:
The system performs preliminary detection of the prism's rotation amount using a sensor unit before executing image processing functions. This allows the device to pre-correct for distortion by determining the appropriate correction amount based on the detected rotation, thereby maintaining image quality across a wide scanning range.
Solution Approach 2:
The patent changes the parameter of prism rotation amount from a fixed small range to a variable range that can exceed specified limits. By detecting the actual rotation amount and using it to determine correction parameters, the system adapts to different scanning conditions while maintaining image quality through parameter-based correction.
2Adaptability or versatility
If the prism rotation exceeds specified range, then the scanning capability is improved, but the distortion and rotation of the subject become large
Solution Approach 1:
The system implements feedback by continuously detecting the prism's rotation amount using a sensor unit and using this information to dynamically adjust image processing parameters. The detected rotation amount feeds back into the correction process, allowing the system to compensate for distortion even when the prism rotates beyond traditional limits.
Solution Approach 2:
Before performing functions like autofocus or exposure adjustment, the system preliminarily detects the prism rotation amount and determines the appropriate correction amount. This preliminary detection and correction setup enables the system to handle large rotation angles while maintaining image quality.
3Productivity
If the region of interest is not corrected, then the processing speed is fast, but the 3A processing accuracy deteriorates
Solution Approach 1:
The system performs preliminary determination of the correction amount based on detected prism rotation before executing 3A processing. By pre-calculating the correction parameters, the system avoids complex real-time corrections during 3A processing, thereby maintaining both speed and accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the performance of specified functions by accurately identifying and correcting the region of interest, reducing errors in autofocus, exposure, and white balance, even when the prism rotates beyond specified limits.
Implementation Method 1
a sensor unit comprising a sensor configured to detect a first amount of rotation of the prism in the first direction or a second amount of rotation
Implementation Method 2
a driving unit including at least one coil configured to move the prism, a magnetic body coupled to the prism
Implementation Method 3
an image sensor configured to generate an electrical signal using light passing through the lens unit and the prism
Data Source
AI summary
An electronic device disclosed herein includes: a display, a memory, a processor, and a camera, the camera includes a lens unit including a lens, a prism rotatable in a first direction or a second direction, a driving unit including at least one coil configured to move the prism, a magnetic body coupled to the prism, a sensor unit including a sensor configured to detect a first amount of rotation of the prism in the first direction or a second amount of rotation thereof in the second direction, and an image sensor configured to generate an electrical signal using light passing through the lens unit and the prism, wherein the processor is configured to: determine a first region of interest (ROI) for execution of a specified function using the camera, determine the first amount of rotation or the second amount of rotation using a sensing value of the sensor unit, and determine a second region of interest by correcting the first region of interest of the camera using the first amount of rotation or the second amount of rotation.