Dual-Camera Image Fusion for Resolution and Data Volume
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Solution Overview
Problem
Conventional camera systems face challenges in reducing data volume for storage and transmission while maintaining high image resolution and quality, particularly in capturing and processing color images, which results in inefficient use of storage space and battery power.
Innovation Solution
A dual-camera system comprising a low-resolution color digital video camera and a high-resolution monochromatic digital video camera, where the cameras capture and fuse images to produce a high-resolution color image, leveraging the sensitivity difference between panchromatic and multispectral sensors to achieve data volume reduction and improved image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional camera systems capture high-resolution color images, then image quality is maintained, but data volume for storage and transmission increases
Solution Approach 1:
The invention segments the image capture process into two separate camera systems: one dedicated to capturing color information at lower resolution, and another dedicated to capturing high-resolution monochromatic detail. This segmentation allows each sensor to optimize for its specific function, enabling the final composite image to achieve high resolution without requiring all sensors to operate at full resolution, thus reducing total data volume.
Solution Approach 2:
The invention transitions from a single-dimension approach (capturing all color channels at full resolution) to a multi-dimensional approach by combining images from two different camera systems with different resolutions and color capabilities. The final high-resolution color image is constructed by integrating the color information from the first camera with the high-resolution monochromatic data from the second camera, effectively adding a dimensional aspect of resolution enhancement without proportionally increasing color data volume.
2Measurement precision
If conventional camera systems process high-resolution color images, then image quality is maintained, but processing time increases
Solution Approach 1:
The processing workflow is segmented into distinct stages: capturing color data at lower resolution, capturing high-resolution monochromatic data separately, and then combining these datasets. This segmentation of the processing pipeline allows for more efficient computation compared to processing full-resolution color data from a single camera, as the computationally intensive operations are reduced and can be performed on smaller datasets before final integration.
3Measurement precision
If conventional camera systems capture high-resolution color images, then image quality is maintained, but battery power consumption increases
Solution Approach 1:
The invention divides the imaging task between two specialized camera systems, each optimized for specific functions. This segmentation allows the system to reduce overall power consumption by having each sensor operate at optimal power levels for its specific role, rather than requiring a single high-powered sensor to handle all imaging functions at full resolution simultaneously.
Data Source
AI summary
A method including providing a digital image from a camera imaging sensor wherein the image comprises both low resolution multispectral and panchromatic information; interpreting the digital image to obtain a low resolution multispectral digital image, interpreting the digital image to obtain a high resolution monochromatic digital, fusing the low resolution multispectral digital image and the high resolution monochromatic digital image to produce a high resolution colour image.