Grayscale Mask Compressed Sensing Imaging System

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Solution Overview

Problem

Compressed sensing imaging systems face limitations in reconstruction accuracy due to the use of binary sensing matrices, which restrict the industrial application scope, especially for non-sparse images.

Innovation Solution

The implementation of grayscale masks with floating-point or continuous values as sensing matrices, modulated by a spatial light modulator, such as a digital micromirror device or liquid crystal on substrate, to enhance reconstruction accuracy by controlling the electromagnetic wave's transmission power or phase, allowing for more precise allocation of electromagnetic wave profiles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a binary sensing matrix is used in the compressed sensing imaging system, then the device complexity is reduced and ease of manufacture is improved, but the reconstruction accuracy deteriorates

Engineering Contradiction:
Improvereconstruction accuracyVSAvoidsensing matrix complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by transitioning the sensing matrix elements from binary values (0 or 1) to continuous grayscale values. This allows the spatial light modulator to modulate electromagnetic waves with varying intensities, thereby improving reconstruction accuracy while maintaining device simplicity through software-controlled parameter variation rather than hardware complexity

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements dynamics by enabling the sensing matrix to switch between different grayscale patterns dynamically. The spatial light modulator can rapidly change its transmission characteristics according to different grayscale masks, allowing the system to adapt to different imaging requirements and improve reconstruction accuracy without permanent hardware modifications

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If a binary sensing matrix is used in the compressed sensing imaging system, then the ease of operation is improved, but the reconstruction accuracy for non-sparse images deteriorates

Engineering Contradiction:
Improvereconstruction accuracyVSAvoidsystem operation simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent replaces the mechanical limitation of binary switches with an optical field-based grayscale modulation system. The spatial light modulator uses optical properties to achieve continuous intensity control, substituting discrete mechanical states with continuous optical field variations, thereby improving reconstruction accuracy while maintaining operational simplicity through software control

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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 significantly improves reconstruction accuracy by breaking the binary constraint, enabling higher precision in image reconstruction at the same sampling frequency, as demonstrated by comparative examples showing reduced root mean square error and improved structural similarity.

Implementation Method 1

A spatial light modulator (SLM) is controlled to modulate an electromagnetic wave projected on an object under test according to the grayscale value of each element in each grayscale mask

Methodology Applied
Scientific EffectLight modulation: Phase Modulation

Implementation Method 2

a physical property of the electromagnetic wave passing through the object under test is detected to obtain multiple measured values

Methodology Applied
Scientific EffectElectromagnetic wave detection: Photoelectric Effect

Data Source

PatentUS12181757B2Compressed sensing imaging method and compressed sensing imaging system
Publication Date: 2024.12.31 NATIONAL TSING HUA UNIVERSITY
  • US12181757B2 patent drawing
  • US12181757B2 patent drawing
  • US12181757B2 patent drawing

AI summary

A compressed sensing imaging method and a compressed sensing imaging system are provided. In the method, multiple grayscale masks having multiple elements with grayscale values represented by floating-point values or continuous values are generated as sensing matrices based on a compressed sensing theory. A spatial light modulator is controlled to modulate an electromagnetic wave projected on an object under test according to the grayscale value of each element in each grayscale mask, and a physical property of the electromagnetic wave passing through the object under test is detected to obtain multiple measured values. An image reconstruction algorithm is executed to reconstruct an image of the object under test by using the grayscale masks and the measured values obtained from the electromagnetic wave modulated by each grayscale mask.