Compound Eye Imaging Device Sparse Representation Resolution
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Solution Overview
Problem
Existing imaging devices using compound eyes struggle to achieve high-resolution images due to limitations in the number of lenses that can be arranged in a narrow space, which restricts the increase in image resolution and field of view.
Innovation Solution
An imaging device employing a plurality of lenses with a measurement matrix storage unit and an image recovery unit using digital signal processing techniques for sparse representation, allowing for the recovery of high-resolution images by overlapping pixel information from multiple lenses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of lenses is increased to improve image resolution, then image resolution is improved, but device complexity and manufacturing difficulty increase due to the narrow space constraint
Solution Approach 1:
The patent replaces the mechanical approach of simply increasing lens count with a digital signal processing approach. Multiple photosensors capture overlapping light information, and a recovery unit uses sparse representation algorithms to reconstruct high-resolution images, substituting physical complexity with computational processing.
Solution Approach 2:
The patent changes the parameter of lens arrangement by allowing lenses to be positioned at angles smaller than their acceptance angle, creating overlapping fields of view. This parameter change enables multiple sensors to capture information from the same spatial region, providing redundant data for high-resolution reconstruction without requiring proportional increases in lens count.
2Measurement precision
If the number of lenses is increased to improve image resolution, then image resolution is improved, but manufacturing difficulty increases in narrow space
Solution Approach 1:
The patent replaces the mechanical constraint of fitting many lenses in narrow space with a computational solution. The manufacturing process focuses on positioning a manageable number of lenses and photosensors, while high-resolution imaging is achieved through digital recovery algorithms that process overlapping measurements, significantly easing manufacturing requirements.
3Measurement precision
If digital signal processing with sparse representation is used to recover images, then image resolution increases, but processing complexity and computation time increase
Solution Approach 1:
The patent extracts only the essential information needed for image recovery by using sparse representation. Instead of processing all possible pixel data, the system identifies and processes only the significant nonzero elements, reducing computational complexity while maintaining high-resolution reconstruction capability.
4Area of moving object
If lenses are arranged with small angles between them to maximize field of view, then field of view is improved, but overlapping pixel information makes image reconstruction difficult
Solution Approach 1:
The patent replaces the difficulty of manual image reconstruction from overlapping fields with an automated digital signal processing system. The recovery unit uses sparse representation algorithms to automatically process and integrate information from multiple lenses with overlapping fields of view, converting a complex reconstruction problem into a computationally tractable task.
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
The solution enhances image resolution while maintaining features like wide field of view and fast motion recognition, improving object discrimination and image acquisition with compound eyes.
Implementation Method 1
a compound eye through which a detected image is obtained by a plurality of lenses
Implementation Method 2
at least several tens of photosensors configured to measure a quantity of light input to correspond to the several tens of lenses, respectively
Data Source
AI summary
An imaging device using a plurality of lenses according to the present disclosure includes: a compound eye through which a detected image is obtained by a plurality of lenses; a measurement matrix storage unit in which at least one measurement matrix is stored; and an image recovery unit configured to recover an image from the detected image using a digital signal processing technique using sparse representation using the measurement matrix. According to the present disclosure, an imaging device may be obtained which may improve the resolution of an image even while a wide undistorted FOV, an infinite depth, and fast motion recognition, which may be obtained using compound eyes, are achieved. Accordingly, discrimination of an object by the compound eyes may be improved, so that a human having camera-type eyes may acquire image information while advantages of the compound eyes are maximized.