Light Field Correction for Colored Surfaces in Image Processing
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Solution Overview
Problem
Existing systems fail to accurately simulate makeup or skin effects under varying lighting conditions, leading to color discrepancies when transitioning from artificial to natural light, and do not account for texture preservation or dynamic adjustments in lighting environments.
Innovation Solution
A method and system for correcting makeup or skin effects on an image by estimating light intensity and minimum light field parameters, applying non-linear transformations to render accurate color layers across different lighting conditions, and adjusting saturation levels to ensure realistic color representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pixel-wise adjustments are used for color correction, then processing speed is improved, but accuracy of color representation under different lighting conditions deteriorates
Solution Approach 1:
The patent divides the image into multiple regions with different lighting characteristics and applies region-specific corrections. Instead of uniform pixel-wise adjustments, the system segments the image based on lighting conditions and applies appropriate corrections to each segment, thereby maintaining both processing efficiency and color accuracy under varying lighting conditions.
Solution Approach 2:
The patent applies different correction strategies to different regions of the image based on local lighting conditions. Each region receives customized color correction parameters tailored to its specific lighting environment, ensuring accurate color representation while maintaining overall processing efficiency through selective rather than universal correction.
2Device complexity
If simple color filtering is used, then device complexity is reduced, but ability to preserve texture under color layers deteriorates
Solution Approach 1:
The patent performs preliminary analysis of the image to identify texture regions and lighting conditions before applying color corrections. By pre-processing the image to detect texture characteristics and lighting variations, the system can apply appropriate corrections that preserve texture while maintaining relatively simple processing architecture.
Solution Approach 2:
The patent introduces intermediate processing steps that analyze both texture and lighting conditions before applying final color corrections. These intermediary analysis stages enable the system to preserve texture characteristics while applying necessary color adjustments, bridging the gap between simple filtering and complex texture-preserving algorithms.
3Measurement precision
If region-based adjustments with multiple parameters are used, then color accuracy under different lighting conditions is improved, but processing time increases
Solution Approach 1:
The patent implements dynamic parameter adjustment based on detected lighting conditions. Instead of applying fixed complex corrections to all regions, the system dynamically selects and adjusts correction parameters according to the specific lighting environment of each region, achieving high color accuracy while minimizing unnecessary processing operations.
Solution Approach 2:
The patent changes correction parameters adaptively based on lighting conditions rather than using fixed parameter sets. By adjusting parameters such as correction strength, color space transformations, and region boundaries based on detected lighting characteristics, the system achieves accurate color representation with optimized processing time.
Data Source
AI summary
A computer-implemented method for correcting a makeup or skin effect to be rendered on a surface region of an image of a portion of a body of a person. The method and system correcting the makeup or skin effect by accounting for image-specific light field parameters, such as a light profile estimate and minimum light field estimation, and rendering the corrected the makeup or skin effect on the image to generate a corrected image.

