Portrait Region Saturation Reduction via Depth of Field Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High image saturation can result in a yellowish skin color for portraits in images, leading to a poor visual effect, especially when portraits are the main subject of interest.
Innovation Solution
A method and device for processing image saturation based on depth of field, which identifies portrait regions within an image and reduces their saturation to maintain accurate skin color representation, using scene data collected by an imaging device and processed by an electronic device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If image saturation is increased to improve color representation, then overall image color vibrancy is improved, but portrait skin color becomes yellowish with poor visual effect
Solution Approach 1:
The patent applies different saturation processing to different regions of the image. Portrait regions are identified and processed separately from background regions, with portrait regions having reduced saturation adjustment to prevent yellowish skin tones, while background regions can maintain higher saturation for vibrant color representation.
Solution Approach 2:
The image is segmented into portrait regions and non-portrait regions based on depth of field information and object detection. This segmentation allows independent saturation control for each region, enabling the system to maintain accurate skin colors in portraits while preserving color vibrancy in other areas.
2Illumination intensity
If saturation processing is applied to the entire image, then overall color representation is improved, but portrait regions lose natural skin color appearance
Solution Approach 1:
Different saturation processing strategies are applied to different image regions. Portrait regions use conservative saturation adjustment to preserve natural skin tones, while other regions can use more aggressive saturation enhancement for improved color representation.
Solution Approach 2:
The system uses depth of field information and object detection feedback to identify portrait regions and adjust saturation processing accordingly. This feedback mechanism enables dynamic adaptation of saturation levels based on the presence and location of portraits in the scene.
3Manufacturing precision
If portrait regions are identified and processed separately, then skin color accuracy is improved, but processing complexity increases
Solution Approach 1:
Depth of field information serves as an intermediary to facilitate portrait region identification. By using depth maps and focus distance data, the system can efficiently distinguish portrait regions from background without requiring complex object recognition algorithms, thus reducing processing complexity while maintaining accuracy.
Data Source
AI summary
A method and a device for processing an image saturation based on depth of field, an electronic device and a computer readable storage medium are provided, for processing scene data collected by an imaging device. The scene data includes a first scene image. The method includes the following. The scene data is processed to determine whether a portrait exists in a scene. In response to determining that the portrait exists, the scene data is processed to identify a portrait region. The first scene image is processed to reduce a saturation of the portrait region.