Photographing Module With Switchable Bayer Filtering for Higher Resolution
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Solution Overview
Problem
Existing photographing modules face challenges in improving image definition due to reduced photosensitivity with increasing pixel count, and multi-frame synthesis is difficult to control, leading to interpolation errors and poor image quality.
Innovation Solution
A photographing module with a Bayer array sensor and a filtering array layer that switches between positions, allowing light to pass through different filtering sub-layers on the photosensitive chip, forming multiple images with the same content but different colors, which are then synthesized to increase effective pixel count and improve resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the quantity of pixels is increased on a fixed-size photosensitive chip, then the imaging definition is improved, but the photosensitivity is reduced
Solution Approach 1:
The patent applies the dynamics principle by making the filtering array layer movable instead of fixed. The filtering array layer can be driven to different positions (first position, second position, third position) relative to the pixel regions, enabling dynamic switching of filtering configurations. This dynamic adjustment allows the system to optimize between resolution and photosensitivity by selecting appropriate filtering patterns for different imaging scenarios.
Solution Approach 2:
The patent introduces a temporal dimension to the imaging process by capturing multiple images at different filtering array positions and synthesizing them. Instead of relying solely on spatial pixel density, the system uses time-multiplexed filtering patterns (first filtering pattern, second filtering pattern, third filtering pattern) to effectively increase the information captured per scene, thereby improving definition without permanently increasing pixel count.
2Measurement precision
If single-frame interpolation is used to improve definition, then the imaging definition is enhanced, but interpolation errors occur and the improvement effect is limited
Solution Approach 1:
The patent creates multiple copies of the same scene captured through different filtering patterns. By capturing the same scene multiple times with the filtering array layer in different positions, the system obtains redundant information that can be used for reliable synthesis. This is more reliable than interpolation because it uses actual captured data rather than computationally estimated values.
Solution Approach 2:
The patent merges multiple images captured with different filtering patterns into a single high-definition image. The image synthesis process combines the information from images taken at different filtering array positions, effectively merging the data to produce a result that exceeds the resolution of any single captured image, while avoiding interpolation errors.
3Measurement precision
If multi-frame synthesis is used to improve definition, then the imaging definition is enhanced, but the control difficulty is great and the image effect is poor
Solution Approach 1:
The patent segments the filtering array layer into multiple independent filtering sub-layers (first filtering sub-layer, second filtering sub-layer, third filtering sub-layer), each corresponding to different pixel regions. This segmentation allows for controlled movement between discrete positions, making the multi-frame synthesis process more manageable. Each position captures a specific filtering pattern, and the synthesis algorithm can selectively combine these segmented views.
Solution Approach 2:
The patent uses dynamic control of the filtering array layer position to simplify the synthesis process. By automatically driving the filtering array layer to predetermined positions (first position, second position, third position) and synchronizing with the imaging capture, the system reduces manual control complexity. The dynamic positioning ensures that each frame is captured at the optimal filtering configuration, making the overall process easier to control while maintaining high image quality.
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
Enhances image resolution by increasing true photosensitive pixels through image synthesis, improving image quality and user experience while reducing control difficulty with precise movement of the filtering array layer.
Implementation Method 1
light that is incident from the lens and passes through a first filtering sub-layer forms a first image through the photosensitive layer; in a case that the filtering array layer is located at the second position, light that is incident from the lens and passes through a second filtering sub-layer forms a second image through the photosensitive layer
Implementation Method 2
each sub-pixel region includes a filtering sub-layer and a photosensitive sub-layer
Data Source
AI summary
An electronic device and a photographing module thereof are provided. The photographing module includes a lens, a driving element, and a photosensitive chip, where the photosensitive chip is a Bayer array sensor, the photosensitive chip includes a plurality of sub-pixel regions, each sub-pixel region includes a filtering sub-layer and a photosensitive sub-layer, the photosensitive chip includes a photosensitive layer and a filtering array layer, and the driving element is capable of driving the filtering array layer to switch between a first position and a second position.


