Amplifier Glow Removal in Deep Space Imagery

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Solution Overview

Problem

Existing methods for removing amplifier glow from digital images, particularly those captured with long exposure times, often sacrifice the useful signal and are inefficient, especially in low-light conditions like deep space imagery.

Innovation Solution

A method utilizing a machine learning algorithm trained to detect amplifier glow, combined with a Generative Adversarial Network, selectively removes glow representations from digital images by processing only affected border regions, preserving the useful signal.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If aggressive noise removal techniques are applied to remove amplifier glow, then the amplifier glow is reduced, but the useful signal in the image is also degraded

Engineering Contradiction:

Improveamplifier glowVSAvoiduseful signal

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

The image is divided into multiple patches, and the machine learning algorithm processes each patch individually to detect amplifier glow. This segmentation allows selective removal of glow from specific regions while preserving the useful signal in other areas of the image.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The invention applies different processing to different regions of the image based on local characteristics. The machine learning algorithm identifies regions containing amplifier glow and applies glow removal only to those specific locations, while leaving other regions unchanged to preserve the useful signal.

Inventive Principle:

Principle #3Local quality

2Object-affected harmful factors

If manual removal methods are used to eliminate amplifier glow, then the glow is reduced, but the processing time and complexity increase

Engineering Contradiction:

Improveamplifier glowVSAvoidprocessing time

Core Design Contradiction:

Object-affected harmful factorsVSLoss of time

Solution Approach 1:

The machine learning algorithm automatically detects and removes amplifier glow without requiring manual intervention. The system trains the algorithm to independently identify glow patterns and apply appropriate removal techniques, eliminating the need for time-consuming manual processing.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The invention replaces manual mechanical processing with an automated machine learning system. The algorithm automatically analyzes image patches, detects amplifier glow patterns, and applies removal techniques, substituting human manual operations with automated computational processes that are faster and more consistent.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Object-affected harmful factors

If cropping is used to remove amplifier glow, then the glow is eliminated, but the image area and useful information are reduced

Engineering Contradiction:

Improveamplifier glowVSAvoidimage area

Core Design Contradiction:

Object-affected harmful factorsVSArea of stationary object

Solution Approach 1:

Instead of removing entire image regions through cropping, the invention extracts only the amplifier glow components from specific patches and removes them. This allows retention of the full image area while eliminating only the harmful glow elements, preserving both the image dimensions and the useful signal within those dimensions.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS12184986B2Amplifier glow reduction

Publication Date: 2024.12.31 LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY (LIST)

AI summary

An efficient tool to remove amplifier glow from low-light and long-exposure digital images, without sacrificing the useful signal contained in these images. This is particularly useful in deep space imagery, where long exposure times are common, and wherein the darkness of the capture images further highlights the effects of amplifier glow.