Image Brightness Correction Using Pre-computed Lookup Tables
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Solution Overview
Problem
Existing image correction systems face instability due to large correction values causing overshooting and oscillation, and require time-consuming feedback loops, while storing relationships between exposure time and image brightness is limited and not generalizable across camera models.
Innovation Solution
A device-independent model for image brightness correction based on exposure time and gain, using an initial brightness sensing unit and image correction unit to adjust exposure or gain according to predetermined brightness information, reducing computation time and avoiding repetitive feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If large correction values are used to correct brightness quickly, then correction speed is improved, but system stability deteriorates due to overshooting and oscillation
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correction values in a lookup table before actual brightness correction is needed. The microcontroller retrieves pre-computed correction values based on measured brightness, avoiding real-time iterative calculations and large correction steps that cause oscillation. This pre-computation ensures both fast correction (high productivity) and stable convergence (high reliability).
Solution Approach 2:
The patent introduces an intermediary element - a lookup table containing pre-calculated correction values - that mediates between the brightness measurement and the correction application. Instead of directly applying large corrections that cause oscillation, the system uses this intermediate table to provide optimized, pre-determined correction values that ensure stable convergence while maintaining fast correction speed.
2Reliability
If small correction values are used to maintain system stability, then reliability is improved, but correction time increases making the process time-consuming
Solution Approach 1:
The patent resolves this contradiction by performing the time-consuming correction value calculations in advance and storing them in a lookup table. During actual operation, the system only needs to retrieve the pre-computed value and apply it, achieving both fast correction (minimal time loss) and stable convergence (maintained reliability).
Solution Approach 2:
The patent uses copying by creating a lookup table that contains copies of pre-calculated correction values for various brightness levels. This table serves as a reference that can be quickly queried without performing the actual iterative correction calculations in real-time, thus reducing correction time while maintaining stability.
3Manufacturing precision
If a feedback loop is implemented to repeatedly correct brightness, then manufacturing precision is improved, but loss of time increases due to repetitive control cycles
Solution Approach 1:
The patent eliminates the need for repetitive feedback loops by pre-calculating the exact correction value needed for each measured brightness level and storing it in a lookup table. The system measures brightness once, retrieves the corresponding pre-computed correction value, and applies it in a single step, achieving both high brightness accuracy and minimal time consumption.
Solution Approach 2:
The patent applies skipping by bypassing the iterative feedback loop process entirely. Instead of repeatedly measuring and correcting brightness through multiple control cycles, the system uses the pre-computed lookup table to jump directly to the correct correction value, rushing through the correction process in a single step while maintaining precision.
4Adaptability or versatility
If a database is used to store exposure time and brightness relationships, then adaptability is improved, but device complexity increases due to large data storage requirements
Solution Approach 1:
The patent extracts only the essential information needed for brightness correction - the relationship between measured brightness and required correction values - and stores it in a compact lookup table. This extraction approach provides the necessary adaptability for brightness correction across different conditions while keeping the data storage requirements manageable and device complexity low.
Solution Approach 2:
The patent creates a universal brightness correction system through the lookup table that can be applied across different lighting conditions and camera models. The table stores general correction relationships that are broadly applicable, providing high adaptability without requiring separate databases for each specific condition, thus avoiding excessive device complexity.
Data Source
AI summary
A system, method and medium correcting brightness of an image, and more particularly, a system, method and medium correcting brightness of an acquired image to achieve a target brightness. The system includes an initial brightness sensing unit to sense an initial brightness of the image from an initial exposure, and an image correction unit to correct the brightness of the sensed initial image toward a target brightness using predetermined brightness information corresponding to a sensed brightness environment of the image.


