Red-Eye Correction Using Face Direction Detection
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Solution Overview
Problem
Existing image processing methods for correcting red-eye phenomena often result in erroneous detection and correction, particularly when red-colored objects near the eyes are misidentified as red-eye candidates, leading to incorrect adjustments.
Innovation Solution
An image processing apparatus and method that includes a specifying unit for determining face direction, a red-eye detection unit, and a correction unit, which together accurately detect and correct red-eye areas based on the face direction to minimize erroneous detection and correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If red-eye detection is performed on all red colored areas near the eyes, then red-eye correction coverage is improved, but erroneous detection and correction of non-eye red objects increases
Solution Approach 1:
The patent applies local quality by making the red-eye detection criteria specific to the eye region rather than applying uniform detection to all red areas. The system analyzes color distribution, saturation, and brightness characteristics specifically within the eye area to differentiate genuine red-eye from other red objects, thereby improving detection accuracy while maintaining comprehensive coverage
Solution Approach 2:
The patent segments the detection process into multiple stages: first identifying the eye region, then performing red-eye detection specifically within that segmented area. This segmentation allows the system to apply different detection thresholds and criteria to the eye region versus other areas, reducing erroneous detection of non-eye red objects while maintaining sensitivity to actual red-eye cases
2Reliability
If red-eye correction is applied to all detected red areas, then correction completeness is improved, but erroneous correction of non-eye areas increases
Solution Approach 1:
The patent applies local quality by implementing correction only in the specific eye region where red-eye is detected, rather than correcting all red areas in the image. The system uses the detected eye position and boundaries to limit the correction scope, ensuring that eyeglasses and other non-eye red objects remain unaffected while maintaining complete correction of actual red-eye areas
Solution Approach 2:
The patent segments the correction process by applying correction operations only to the segmented eye region that contains detected red-eye. This spatial segmentation prevents erroneous correction of other red objects in the image while ensuring that all red-eye areas within the eye region are corrected, thus improving correction accuracy without sacrificing completeness
Data Source
AI summary
The invention includes: specifying a face direction in an image including a face; detecting a red-eye area in the face included in the image; and correcting the detected red-eye area in accordance with a correction standard depending on the specified face direction. Alternatively, the invention includes specifying a face direction in an image; and detecting a red-eye area in a face included in the image in accordance with a detection standard depending on the face direction.