Dynamic Hue Range Adjustment for Face Region Achromatization
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Solution Overview
Problem
Existing image processing technologies for imaging apparatuses do not effectively allow users to specify a wide enough hue range for skin tones when performing one-point color processing, leading to incomplete achromatization of skin colors in images.
Innovation Solution
The imaging apparatus includes a face detection unit, a position specifying unit, and a range specifying unit that adjust the hue range based on whether the specified position is within a face region, setting a wider hue range when the position is within the face region to include various skin tones, ensuring that all hues of skin colors are captured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a fixed hue range is used for one-point color processing, then the processing is simple and fast, but skin tones cannot be fully captured leading to incomplete achromatization
Solution Approach 1:
The patent applies dynamics by making the hue range adjustable based on the detected object type. The system dynamically switches between a first hue range for non-face objects and a second, wider hue range for face regions. This allows the processing parameters to adapt to different scenarios, ensuring accurate skin tone capture when needed while maintaining simplicity for other cases.
Solution Approach 2:
The patent implements local quality by applying different hue ranges to different regions of the image. Specifically, the face region detection unit identifies facial areas, and the image processing unit applies a wider hue range specifically to these regions while using a narrower range for other areas. This localized approach ensures that skin tones are accurately preserved only where necessary.
2Manufacturing precision
If a wider hue range is used to capture all skin tones, then skin color achromatization is improved, but colors of other regions may be incorrectly affected
Solution Approach 1:
The patent applies segmentation by dividing the image into face regions and non-face regions using the face region detection unit. This segmentation allows the system to apply different processing parameters to different segments. The wider hue range is applied only to the face region segment, while the narrower range is used for other segments, preventing color distortion in non-face areas.
Solution Approach 2:
The patent implements local quality by applying different hue ranges to different regions of the image. Specifically, the face region detection unit identifies facial areas, and the image processing unit applies a wider hue range specifically to these regions while using a narrower range for other areas. This localized approach ensures that skin tones are accurately preserved only where necessary.
3Manufacturing precision
If the hue range is automatically adjusted based on face detection, then processing accuracy is improved, but the processing time and computational load increase
Solution Approach 1:
The patent applies preliminary action by performing face region detection before the color conversion process. The face region detection unit identifies and marks face regions in advance, allowing the image processing unit to quickly apply the appropriate hue range during color conversion without needing to analyze the entire image. This preliminary segmentation reduces the computational burden during the actual color processing step.
Data Source
AI summary
The present technique has a face detection unit configured to detect a face region which is determined as a face in an image, a position specifying unit configured to specify a particular position in the image, a range specifying unit configured to set a hue range which has a first range containing a hue at a position specified by the position specifying unit in a case where the position specified by the position specifying unit is not contained in the face region and to set a hue range which has a second range containing a hue at a position specified by the position specifying unit and wider than the first range in a case where the position specified by the position specifying unit contains the face region, and image processing unit for performing image conversion processing based on color information contained in the hue range.