Automatic White Balance Convergence Rate Adjustment
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Solution Overview
Problem
Automatic white balance (AWB) operations in image capture devices cause delays and fluctuations in image previews due to repetitive adjustments for changing light conditions, especially when scene changes are temporary or of varying magnitude, affecting user experience.
Innovation Solution
A device adjusts the AWB convergence rate based on the magnitude and duration of scene changes, preventing unnecessary operations for temporary changes and optimizing the convergence process by varying the rate of adjustment from existing to new balancing factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AWB operations are performed frequently to adapt to changing light conditions, then color accuracy is improved, but processing time and delays increase
Solution Approach 1:
The patent implements dynamic adjustment of the convergence rate based on scene change detection. When scene changes are detected, the system increases the convergence rate to quickly adapt to new lighting conditions, while in stable scenes it reduces the convergence rate to minimize processing operations. This dynamic approach optimizes the balance between color accuracy and processing time.
Solution Approach 2:
The system changes the convergence rate parameter based on detected scene conditions. By adjusting this key parameter dynamically, the system can accelerate color adaptation when needed while reducing unnecessary processing during stable conditions, thereby resolving the contradiction between accuracy and time loss.
2Adaptability or versatility
If AWB operations are performed continuously to track scene changes, then adaptability is improved, but processing efficiency deteriorates
Solution Approach 1:
The system dynamically adjusts the convergence rate based on detected scene changes. When changes are detected, the convergence rate increases to improve adaptability. When no changes are detected, the convergence rate decreases to improve processing efficiency, thus resolving the contradiction between adaptability and productivity.
Solution Approach 2:
The system uses feedback from scene change detection to control the convergence rate. This closed-loop control ensures that AWB operations are intensified only when scene changes are detected, maintaining adaptability while avoiding unnecessary processing that would reduce efficiency.
3Speed
If AWB convergence rate is increased to quickly adapt to scene changes, then response speed is improved, but processing stability deteriorates
Solution Approach 1:
The convergence rate is dynamically adjusted based on scene change detection. High convergence rates are applied only when scene changes are detected to improve response speed, while low convergence rates are used during stable conditions to maintain processing stability, thus resolving the contradiction between speed and stability.
4Measurement precision
If AWB operations are performed for every scene change, then color accuracy is improved, but device complexity increases
Solution Approach 1:
The system changes the convergence rate parameter dynamically based on scene detection. This single parameter adjustment allows the system to achieve high color accuracy when needed while avoiding the complexity of implementing multiple separate processing paths or algorithms.
Data Source
AI summary
Aspects of the present disclosure relate to systems and methods for performing automatic white balance (AWB). An example device may include a memory and a processor coupled to the memory. The processor may be configured to receive a first image of a scene, measure a first illuminant of the first received image, compare the first illuminant and a first illuminant value, determine the scene is changing between the first received image and a previous image based on the comparison, adjust a first AWB convergence rate to a second AWB convergence rate in response to determining the scene is changing, and converge from a first balancing factor to a second balancing factor for one or more white balance operations based on the second AWB convergence rate.