Endoscope Image Correction Using Precomputed Color Parameters
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Solution Overview
Problem
Existing methods for correcting color information variance between electronic endoscopes and processors require extensive arithmetic operations and large memory capacity, leading to a significant processing load.
Innovation Solution
A method involving the calculation and storage of correction parameters for both the processor and endoscope units using reference devices, allowing for efficient color correction during image processing without the need for extensive calculations at the time of use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If chromaticity correction table is created using spectral characteristics, then color information correction is achieved, but processing load increases enormously
Solution Approach 1:
The patent applies preliminary action by pre-calculating correction parameters for discrete color temperatures (e.g., 2000K, 3000K, 4000K, 5000K, 6000K, 7000K, 8000K, 9000K, 10000K) and storing them in a lookup table. When correcting color information, the system simply retrieves the pre-calculated parameters based on measured color temperature rather than performing complex spectral calculations in real-time, thereby achieving both accurate correction and low processing load.
Solution Approach 2:
The patent changes the parameter representation from continuous spectral characteristics to discrete color temperature values with corresponding correction parameters. By measuring color temperature with a color temperature meter and selecting correction parameters based on discrete temperature ranges, the system transforms a complex continuous parameter problem into a simple discrete lookup operation, resolving the contradiction between correction accuracy and processing efficiency.
2Measurement precision
If chromaticity correction table is created using spectral characteristics, then color information correction is achieved, but memory capacity requirements increase
Solution Approach 1:
The patent extracts only the essential correction parameters (R, G, B channel gain values) from the complete spectral characteristics and stores them in a compact correction parameter table. Instead of storing full spectral data for multiple conditions, the system extracts and stores only the necessary correction factors needed for color temperature compensation, significantly reducing memory requirements while maintaining correction effectiveness.
Solution Approach 2:
The patent changes the stored parameters from detailed spectral characteristic data to simplified correction parameters (R, G, B gain values) corresponding to discrete color temperatures. This parameter transformation reduces the data size from complex spectral curves to simple numerical correction factors, achieving both accurate color correction and minimal memory usage.
Data Source
AI summary
One aspect of the present invention is a correction method of correcting a captured image in an electronic endoscope system. The method includes: a step of calculating a first correction parameter corresponding to a correction target processor using a reference endoscope and a reference processor; a step of causing the correction target processor to store the calculated first correction parameter; a step of calculating a second correction parameter corresponding to a correction target endoscope using the reference endoscope and the reference processor; a step of causing the correction target endoscope to store the calculated second correction parameter; and a step of performing, by the correction target processor, correction on a captured image captured by an image sensor of the correction target endoscope using the first correction parameter and the second correction parameter when the correction target endoscope and the correction target processor are connected.