Microlens Pixel Layout for Angle-Based Stray Light Detection
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Solution Overview
Problem
Cameras suffer from aberrations such as veiling glare and lens flare due to internal reflections and misalignments within the camera optics, which affect image quality and object identification in applications like autonomous vehicles.
Innovation Solution
The use of microlenses positioned over subsets of light-sensitive pixels to determine the angle of incidence of incoming light signals, identifying stray light and allowing for its detection and compensation through hardware or software adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If microlenses are added to detect angle of incidence, then stray light detection capability is improved, but device complexity increases
Solution Approach 1:
The microlens array serves dual purposes: it focuses light onto photodetector pixels for normal image capture while simultaneously enabling angle-of-incidence measurement for stray light detection. By making the same optical component multi-functional, the patent avoids adding separate detection hardware, thus improving measurement capability without proportionally increasing device complexity.
Solution Approach 2:
The patent introduces microlenses as an intermediary optical element between the incoming light and the photodetector pixels. These microlenses modulate the light based on angle of incidence, creating detectable patterns that enable stray light identification without requiring direct measurement of the angle itself, thereby simplifying the overall detection mechanism.
2Reliability
If hardware corrections are implemented to compensate for stray light, then image quality is improved, but device complexity increases
Solution Approach 1:
The system uses photodetector pixels to measure the angle of incidence of incoming light and feeds this information back to a processor. The processor analyzes the angular distribution patterns to identify and quantify stray light components, then applies corrective algorithms to the captured image data, enabling dynamic compensation based on real-time measurements.
Solution Approach 2:
Instead of using complex mechanical stray light blocking structures or physical filters that would add hardware complexity, the patent substitutes a software-based correction system that processes electrical signals from the photodetectors. This replaces potential mechanical solutions with electronic and computational methods, maintaining image quality while minimizing added complexity.
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
Improves image quality by effectively removing stray light, enhancing object identification and reducing aberrations in captured images, particularly in computer vision applications.
Implementation Method 1
a first lens positioned over a first subset of light-sensitive pixels selected from the plurality of light-sensitive pixels
Implementation Method 2
an image sensor that includes a plurality of light-sensitive pixels
Data Source
AI summary
Example embodiments relate to microlensing for real-time sensing of stray light. An example device includes an image sensor that includes a plurality of light-sensitive pixels. The device also includes a first lens positioned over a first subset of light-sensitive pixels selected from the plurality of light-sensitive pixels. Further, the device includes a controller. The controller is configured to determine a first angle of incidence of a first light signal detected by the first subset of light-sensitive pixels. The controller is also configured to, based on the first determined angle of incidence, determine an amount of stray light incident on the image sensor.


