Adaptive Focus Peaking Color Selection for Scene Contrast
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Solution Overview
Problem
Existing focus peaking highlighting methods in cameras are ineffective in scenes with dominant colors that obscure the visibility of the focus peaking signal, and they fail to adapt to changing scene colors during prolonged recording sessions.
Innovation Solution
An image processing system that analyzes the scene colors and adaptively selects a focus peaking color by computing a focus peaking signal based on luminance and chrominance channels, adjusting the chrominance values to enhance visibility, and optionally using alternative color spaces like RGB or HSV to determine the optimal focus peaking color.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed focus peaking color is used, then the device complexity is reduced, but the visibility of focus peaking signal deteriorates in scenes with dominant colors
Solution Approach 1:
The focus peaking color is changed from a fixed static value to a dynamic value that adapts to the scene. The system continuously analyzes the dominant colors in the captured image and automatically selects a focus peaking color that provides maximum contrast, ensuring visibility across varying scene conditions without requiring manual intervention.
Solution Approach 2:
The system implements a feedback loop where the captured image is analyzed to determine dominant scene colors, and this information feeds back into the color selection process. The focus peaking color is adjusted based on this feedback to ensure it contrasts with the scene, creating a closed-loop adaptive system that maintains visibility.
2Adaptability or versatility
If manual color selection is implemented, then adaptability to scene colors improves, but ease of operation deteriorates due to additional user steps
Solution Approach 1:
The system performs automatic color analysis and selection without requiring user intervention. The camera independently analyzes the scene colors and selects the appropriate focus peaking color, making the system self-sufficient and eliminating the need for manual color selection by the user.
Solution Approach 2:
The system automatically changes the color parameter of the focus peaking overlay based on scene analysis. By dynamically adjusting the color parameter to contrast with dominant scene colors, the system achieves adaptability without requiring user input or manual color selection.
3Device complexity
If focus peaking color does not adapt to changing scene colors, then device complexity is reduced, but reliability deteriorates during prolonged recording sessions
Solution Approach 1:
The focus peaking color transitions from a static fixed value to a dynamic adaptive value that responds to changing scene conditions. The system continuously monitors scene colors throughout the recording session and adjusts the focus peaking color accordingly, ensuring consistent visibility regardless of lighting changes or scene variations.
Solution Approach 2:
A continuous feedback mechanism is implemented that analyzes scene colors throughout the recording session and adjusts the focus peaking color in real-time. This feedback loop ensures that the focus peaking signal remains visible and reliable even as scene conditions change during prolonged recording.
Data Source
AI summary
Systems and methods are disclosed for automated color selection for focus peaking highlighting. For example, methods may include accessing a color image including a first component image, a second component image, and a third component image that each encode a dimension of a color space used to encode the color image; selecting pixels of the color image for focus peaking highlighting based on pixel values of the first component image; and determining a color for focus peaking highlighting based on the second component image and on the third component image.