Microscopic Image Artifact Reduction via Dual Enhancement
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Solution Overview
Problem
Existing image processing techniques for microscopic images, such as phase-contrast and bright field observations, face challenges in reducing artifacts at the boundary between the observation sample and background, leading to misunderstandings of microstructures and a decrease in resolving power.
Innovation Solution
An image processing method that generates two enhanced images - a high-frequency enhanced image and a microstructure enhanced image - and composites them to produce a corrected image, effectively suppressing artifacts while maintaining the resolving power of microstructures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If image processing techniques are applied to reduce artifacts at boundaries, then artifact reduction is improved, but resolving power of microstructures decreases
Solution Approach 1:
The patent segments the image processing into two distinct enhancement processes: high-frequency enhancement for boundary artifact reduction and microstructure enhancement for resolving power maintenance. By dividing the processing into separate stages with different objectives, the system can optimize each process independently without compromising the other.
Solution Approach 2:
The patent applies different image enhancement characteristics to different regions of the image. High-frequency enhancement is applied primarily at boundaries where artifacts occur, while microstructure enhancement is applied to regions containing fine structural details. This localized approach ensures that artifact reduction does not degrade microstructure resolution.
2Measurement precision
If high-frequency components are enhanced to reduce artifacts, then boundary clarity is improved, but microstructure detail may be lost
Solution Approach 1:
The patent separates the enhancement of high-frequency components from microstructure preservation into distinct processing stages. The first stage enhances high-frequency components at boundaries to improve clarity, while the second stage specifically preserves microstructure details, preventing information loss.
Solution Approach 2:
The patent adjusts enhancement parameters differently for different frequency ranges and image regions. By changing the enhancement strength and characteristics based on local image content, the system can enhance boundary clarity without过度 enhancing or suppressing microstructure details.
Data Source
AI summary
An image processing method includes: generating two images by performing two image enhancement processes for a microscopic image; and generating a corrected image obtained by compositing the two images, wherein the generating the two images includes generating a high-frequency enhanced image in which high-frequency components of the microscopic image are enhanced relative to low-frequency components of the microscopic image that have a lower frequency than the high-frequency components, and generating a microstructure enhanced image in which a microstructure in an observation sample included in the microscopic image is enhanced.