Masked Image Acquisition via Compressed Sensing
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Solution Overview
Problem
Existing methods for acquiring high-resolution images of subjects with finer structures than image sensor pixels are inaccurate due to insufficient information from image sensor pixels, leading to decreased accuracy in reconstructed images.
Innovation Solution
An image acquisition device with a mask member having a pattern that changes transmittance on an intersecting plane, a detector with pixels arranged in the incident direction, and a processor that reconstructs images using compressed sensing based on relative movement data between the mask member and subject, where the mask member's pattern size is smaller than the detector's pixel size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If compressed sensing is used to reconstruct high-resolution images from image sensor output, then image resolution can be improved, but accuracy of the reconstructed image deteriorates when the subject has finer structure than the sensor pixels
Solution Approach 1:
The mask member divides the incident light into multiple beams with different transmittances, creating segmented measurement paths. This segmentation allows the system to capture fine structural information that would otherwise be lost due to pixel integration, thereby improving reconstructed image accuracy while maintaining high resolution
Solution Approach 2:
The mask member acts as an intermediary between the subject and the image sensor. By placing the mask with its specific transmittance pattern in the light path, it modulates the light before it reaches the sensor, enabling the capture of fine structural information that enhances the accuracy of compressed sensing reconstruction
2Measurement precision
If the pattern size of the mask member is made smaller than the pixel size to increase information amount, then reconstructed image accuracy improves, but the device complexity increases
Solution Approach 1:
The system introduces relative movement between the mask member and the subject, transforming a static measurement system into a dynamic one. This dynamic approach allows the use of a simpler, coarser mask pattern while still capturing fine structural information through the movement-induced variation in transmittance, thereby reducing device complexity while maintaining accuracy
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
This configuration increases the information amount from pixels, enabling accurate high-resolution image acquisition of subjects by finely changing transmittance and reconstructing images through compressed sensing.
Implementation Method 1
a mask member that has a pattern that changes a transmittance of some beams from a subject
Implementation Method 2
a detector including a plurality of pixels that is arranged in a direction intersecting with the incident direction of the beam and detects a beam that has passed through the mask member
Data Source
AI summary
An image acquisition device includes a mask member that includes a mask pixel that changes a transmittance of some parallel waves from a subject on a plane intersecting with an incident direction of the parallel wave, a detector that includes a plurality of pixels that is arranged in a direction intersecting with the incident direction of the parallel wave and detects the parallel wave that has passed through the mask member, and an image processing device that reconstructs an image using compressed sensing based on data regarding a relative moving amount between the mask member and the subject and detection signals of the plurality of pixels input from the detector, in which a size of the mask pixel of the mask member on the plane is smaller than a size of the plurality of pixels along the plane.