Image Processing Apparatus Black Balance Shift Correction
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Solution Overview
Problem
Imaging devices face issues with color reproducibility due to shifts in black balance caused by changes in imaging sensor characteristics over time, temperature, and environmental factors, leading to unwanted coloration in captured images.
Innovation Solution
An image processing apparatus that detects shifts in black balance and white balance, calculates correction values based on static black balance and white balance information, and adjusts the black balance accordingly to maintain accurate color representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If black balance correction is not performed, then device complexity is reduced, but color reproducibility deteriorates due to sensor characteristic changes
Solution Approach 1:
The system performs self-correction by automatically detecting black balance shifts through image analysis and applying corrections without external intervention. The processor autonomously identifies color casts caused by sensor drift and compensates them, enabling the imaging system to maintain accuracy through self-monitoring and self-adjustment mechanisms.
Solution Approach 2:
The system establishes a feedback loop where the processed image is analyzed to detect black balance shifts, which then triggers correction calculations that feed back into the imaging pipeline. This closed-loop control ensures continuous monitoring and adjustment of color balance based on actual sensor performance, maintaining color accuracy despite environmental variations.
2Manufacturing precision
If dynamic black balance correction is implemented, then color reproducibility improves, but processing time increases
Solution Approach 1:
The system applies partial correction by focusing computational resources on correcting only the black balance component rather than performing full white balance adjustment. This selective approach addresses the specific issue of sensor-induced color casts while minimizing unnecessary processing, achieving efficient correction with reduced computational overhead.
Solution Approach 2:
The system performs preliminary black balance correction before applying standard white balance processing. By pre-correcting the black balance shift detected in the captured image, subsequent processing stages work with already-corrected data, reducing the overall computational burden and processing time required for final color accuracy.
Data Source
AI summary
In an image processing apparatus, a shift of black balance in an input image is detected, at least one of information regarding white balance to be applied to the input image or information regarding static black balance is acquired, the shift of the black balance is corrected based on at least one of the information regarding the white balance or the information regarding the static black balance in a case in which the shift of the black balance is detected, and the shift of the black balance is adjusted in accordance with the calculated correction value.