Lensless Imaging Apparatus Grating Modulator Data Compression
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Solution Overview
Problem
Lensless imaging apparatuses face challenges in reducing image capacity, as the images captured require large storage capacity due to their high resolution and unclear subject images, making it necessary to develop a method to compress and manage image data effectively.
Innovation Solution
The proposed solution involves an imaging apparatus with a modulator having a first and second grating pattern, an image sensor, a signal processor, a difference processor, a data converter, and a compressor, which calculates and compresses image data based on differences between signals from the grating patterns to reduce image capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the lensless imaging apparatus captures high resolution images, then the image quality is improved, but the storage capacity required increases
Solution Approach 1:
The imaging process is segmented into multiple capture phases with different grating patterns (first grating pattern and second grating pattern with phase shift). Instead of capturing one large high-resolution image, the system divides the capture into multiple lower-resolution measurements that are processed separately and combined, reducing the storage burden while maintaining quality
Solution Approach 2:
The system changes the parameters of the grating pattern between captures (phase shifting between first and second grating patterns). By varying the grating pattern parameters rather than maintaining a single high-resolution capture, the system extracts multiple information sets from different parameter states, reducing the need to store large amounts of redundant high-resolution data
2Adaptability or versatility
If the sensor image is recorded for focus adjustment and autofocus, then the functionality is improved, but the image capacity increases
Solution Approach 1:
The system performs preliminary capture of sensor images with different grating patterns before final image reconstruction. These preliminary captures are used for focus adjustment and autofocus operations, allowing the system to optimize focusing without requiring storage of large final high-resolution images
Solution Approach 2:
The system extracts only the necessary information from the sensor images for focus adjustment and autofocus purposes. Rather than storing complete high-resolution sensor images, it extracts focus-related metrics and parameters, significantly reducing storage requirements while maintaining autofocus functionality
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 approach effectively reduces and manages the image capacity of lensless imaging apparatuses by compressing image data, enabling efficient storage and transmission while maintaining image quality.
Implementation Method 1
a light beam(s) from a photographed subject is detected as spatial frequencies of moire fringes through a zone plate (FZP)
Implementation Method 2
an image sensor configured to convert an optical image and output the converted optical image
Data Source
AI summary
A modulator has a first grating pattern, and a second grating pattern having a phase shifted from the first grating pattern; a sensor processor receives a first image signal outputted by the first grating pattern, and a second image signal outputted by the second grating pattern; a difference processor calculates a difference between the first image signal and the second image signal; and a compression processor 3005 contains information that indicates a range of the difference to first compression image data. Those make it possible to reduce a data amount of images capable of focus adjustment etc. from later, and to lead to reduction in costs of a storage apparatus.