Luminance Chrominance Sensor Array Blind Region Alignment
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Solution Overview
Problem
Existing image capture devices that separate luminance and chrominance sensors often experience blind regions due to occlusions, leading to loss of color information and compromised image resolution, as the blind regions of these sensors do not completely overlap, causing incomplete capture of color data.
Innovation Solution
An image sensing device comprising a luminance sensor positioned between two chrominance sensors, with the chrominance sensors' fields of view offset to prevent overlapping blind regions, and an image processing module that generates a stereo disparity map to align and combine the images, ensuring complete chrominance information capture and improved resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate luminance and chrominance sensors are used, then luminance resolution is improved, but chrominance information is lost in blind regions
Solution Approach 1:
The imaging system is segmented into separate luminance and chrominance sensor paths, allowing dedicated optimization of each function while maintaining overall system performance
Solution Approach 2:
A processing unit acts as an intermediary that receives data from both sensor types and synthesizes the final image, compensating for blind regions by integrating information from multiple sources
2Loss of information
If chrominance sensors are offset to prevent overlapping blind regions, then complete chrominance coverage is achieved, but image alignment complexity increases
Solution Approach 1:
The processing unit uses feedback mechanisms to analyze the relative positions of chrominance sensors and dynamically adjust alignment parameters, ensuring accurate image registration despite offset configurations
Solution Approach 2:
The system transitions from simple spatial alignment to multi-dimensional alignment by incorporating stereo disparity maps and geometric distortion corrections in addition to basic positional alignment
3Measurement precision
If stereo disparity mapping is used to align chrominance images, then alignment accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary alignment using simplified methods before applying more complex stereo disparity mapping, reducing the computational burden and processing time of the final alignment stage
Data Source
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AI summary
Methods and apparatuses disclosed herein relate to image sensing devices. One embodiment may take the form of an image sensing device that includes a first image sensor for capturing a luminance image, a second image sensor for capturing a first chrominance, and a third image sensor for capturing a second chrominance image. The image sensing device may further include an image processing module for combining the luminance image captured by the first image sensor, the first chrominance image captured by the second image sensor, and the second chrominance image captured by the third image sensor, to form a composite image.