Spectroscopic Camera Abnormal Pixel Correction
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Solution Overview
Problem
Compact spectroscopic cameras face issues with brightness abnormalities in spectral images due to specular reflection from imaging objects, especially in the near-infrared region, where the distance between the light source and imaging lens is reduced, leading to inaccurate image acquisition.
Innovation Solution
A camera system with a light source unit, imaging unit, pixel detection unit, and light quantity correction unit that uses polynomial approximation to identify and correct abnormal pixels caused by specular reflection, employing a tunable Fabry-Perot etalon for wavelength selection and correction, ensuring accurate spectral image acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If a light source is provided in the compact spectroscopic camera to acquire spectral image in near-infrared region, then the light quantity for imaging is improved, but the distance between light source and imaging lens becomes smaller causing specular reflection and brightness abnormality
Solution Approach 1:
The patent applies preliminary action by detecting abnormal pixels before final image processing and correcting their light quantities in advance. The pixel detection unit identifies pixels with reflectance ratios exceeding the predetermined value (indicating specular reflection) before the image is finalized, allowing correction to be applied proactively to eliminate brightness abnormalities in the spectral image.
Solution Approach 2:
The patent converts the harmful effect of specular reflection into a benefit by using the detected abnormal pixels as targets for correction. Instead of letting the specular reflection cause brightness abnormalities, the system identifies these pixels and replaces their light quantities with corrected values derived from neighboring normal pixels, thereby transforming the harmful reflection effect into an opportunity for enhanced image quality through targeted correction.
2Measurement precision
If polynomial approximation is used to correct light quantities of abnormal pixels, then the accuracy of image acquisition is improved, but the processing complexity increases
Solution Approach 1:
The patent applies local quality by performing polynomial approximation only in the local vicinity of each abnormal pixel rather than processing the entire image uniformly. The light quantity correction unit identifies neighboring normal pixels surrounding each abnormal pixel and applies correction locally using these neighbors as reference points, thereby achieving high accuracy for each abnormal pixel while minimizing overall processing complexity through localized rather than global correction.
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
The system effectively corrects light quantity abnormalities in spectral images, enabling high-accuracy imaging by replacing abnormal pixel values with appropriate ones based on normal pixel values, thereby improving the accuracy of spectral image acquisition and component analysis.
Implementation Method 1
acquires a spectral image by allowing light from an object to enter a Fabry-Perot interference filter and receiving the light transmitted through the Fabry-Perot interference filter
Implementation Method 2
an imaging unit that acquires an image by imaging the light reflected by the imaging object
Data Source
AI summary
A spectroscopic analyzing apparatus includes a light source unit that applies light to an imaging object, an imaging unit that acquires an image by imaging the light reflected by the imaging object, pixel detection part for detecting abnormal pixels having ratios in respective pixels of the image equal to or more than one and normal pixels having the ratios less than one, and light quantity correction part for calculating light quantity correction values based on the light quantities of the normal pixels in a pixel area containing the abnormal pixels of the image and replaces the light quantities of the abnormal pixels by the light quantity correction values, wherein the light quantity correction part calculates the light quantity correction values by polynomial approximation based on the light quantities of the normal pixels located within a predetermined distance range.