Lensless Image-Capturing Apparatus Diffraction Control
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Solution Overview
Problem
Lensless image-capturing apparatuses face challenges in maintaining high spatial resolution when capturing a wide range of wavelengths due to diffraction effects, which require optimized patterns and distances for each wavelength band to minimize blurring and interference.
Innovation Solution
The apparatus employs a band-pass filter divided into areas transmitting different wavelength bands, a mask with varying unit sizes and distances corresponding to each area, and a solid-state image-capturing device to modulate and capture light, with signal processing to reconstruct high-resolution images by minimizing diffraction effects across multiple wavelength bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wide range of wavelengths is acquired simultaneously in a lensless image-capturing apparatus, then the spectral coverage is improved, but the spatial resolution deteriorates due to diffraction effects
Solution Approach 1:
The image-capturing apparatus divides the detection plane into multiple wavelength-band-specific areas, with each area equipped with a band-pass filter and corresponding mask pattern optimized for its specific wavelength range. This segmentation allows each region to process a narrow wavelength band with optimized diffraction control, while collectively covering a wide spectral range without mutual interference between different wavelength bands
Solution Approach 2:
Different regions of the image-capturing apparatus are assigned different optical characteristics tailored to specific wavelength bands. Each local area has customized mask patterns, opening sizes, and distances from the sensor plane that are optimized for its designated wavelength range, enabling high spatial resolution for each band while maintaining overall spectral versatility
2Measurement precision
If the distance between the mask and image sensor is reduced to minimize diffraction blurring, then the spatial resolution is improved, but the depth of field and light collection capability deteriorate
Solution Approach 1:
The apparatus employs multiple mask patterns with different opening sizes and configurations, allowing the system to dynamically select or switch between patterns optimized for different wavelength bands. This enables each wavelength band to use the optimal mask configuration that balances diffraction control and light collection, rather than using a single fixed mask design
Solution Approach 2:
The mask opening sizes, patterns, and distances from the sensor are varied as parameters across different wavelength-band-specific areas. By changing these geometric parameters according to the wavelength band, the system optimizes the balance between minimizing diffraction effects and maximizing light collection for each spectral region
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 allows for the reconstruction of two-dimensional images with high spatial resolution even when a wide range of wavelengths is captured simultaneously, reducing blurring and interference caused by diffraction.
Implementation Method 1
a band-pass filter that is divided into a plurality of areas, each of which transmits incident light in a different wavelength band
Implementation Method 2
a mask that is divided corresponding to the plurality of areas, and modulates the incident light in the different wavelength bands
Implementation Method 3
a solid-state image-capturing device that has an image-capturing plane that is divided corresponding to the plurality of areas, and captures, as a two-dimensional pixel signal, the incident light modulated by the mask
Implementation Method 4
diffraction is a phenomenon that depends on the wavelengths of incident light... the amount of blurring due to diffraction increases
Data Source
AI summary
The present disclosure relates to an image-capturing apparatus, an image-capturing method, and an image-capturing device that allow reduction of an influence of diffraction due to opening sections of a mask in lensless image-capturing. Before a mask, a band-pass filter that is divided into a plurality of areas, each of which transmits incident light in a different wavelength band, is provided, and the mask that includes opening sections, and modulates the incident light, which has been transmitted through the band-pass filter, in the wavelength bands that are different for the individual areas is provided. The opening sections of the mask have such unit sizes that blurring resulting from diffraction which occurs to each wavelength of the incident light is minimized. The present disclosure can be applied to a lensless image-capturing apparatus.


