Image Calibration Data Calculation to Correct Channel Signal Branching
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Solution Overview
Problem
Existing image sensing devices face issues with signal branching between adjacent pixels due to manufacturing process errors, which can cause autofocus failures.
Innovation Solution
A device for calculating calibration data that includes a channel and region separator, a channel signal extractor, a deviation calculator, and a calibration value calculator to address signal branching by separating raw images into channels and regions of interest, calculating channel deviations, and determining calibration values to correct manufacturing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manufacturing process is simplified, then production efficiency is improved, but signal branching errors between channels increase
Solution Approach 1:
The patent applies preliminary action by calculating and storing calibration data before actual image capture. The system performs channel alignment calibration in advance using calibration images, computes deviation values between channels, and stores correction data in memory. This preliminary calibration process eliminates the need for complex real-time corrections during normal operation, thereby resolving the contradiction between production efficiency and manufacturing precision.
2Measurement precision
If calibration process is added, then signal branching accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the calibration process into distinct functional modules: a calibration image generator that creates test patterns, a deviation calculator that computes channel misalignment, and a calibration data generator that stores correction values. This modular segmentation allows each component to perform its specific function efficiently, improving measurement precision while managing device complexity through functional decomposition.
Solution Approach 2:
The system implements self-service by automatically performing calibration without requiring external intervention. The image sensor itself generates calibration images, the processor calculates deviations, and the system stores correction data in its own memory. This self-calibrating mechanism improves channel signal accuracy while avoiding the complexity of external calibration equipment and manual adjustment procedures.
Data Source
AI summary
A device for calculating calibration data of images is provided to include a channel and region separator configured to generate channel images by separating a raw image received from an image sensor into images for each color and each channel corresponding to each pixel group of the image sensor and to separate each of the channel images into a plurality of regions of interest (ROIs), a channel signal extractor configured to obtain channel signals from the plurality of ROIs of the channel images, a deviation calculator configured to calculate channel deviations between channel signals of the ROIs located at a same position in the channel images having a same color, and a calibration value calculator configured to calculate channel calibration values for each ROI based on the channel deviations and the channel signals.