Portrait Image Processing Using Blood Volume Pulse Signals
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Solution Overview
Problem
Conventional portrait filters do not consider real physiological parameters of users, resulting in less realistic adjusted portrait images.
Innovation Solution
A portrait image processing method and device that senses a user's Blood Volume Pulse (BVP) signal and adjusts the image based on the BVP signal and blood flow distribution, enhancing the realism of the portrait image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional portrait filters directly change image parameters, then image adjustment is simple and fast, but the adjusted portrait image lacks realism
Solution Approach 1:
The system performs preliminary sensing of BVP signals and acquisition of blood flow distribution data before adjusting the portrait image. This preliminary collection of physiological information enables the subsequent image adjustment to be based on actual physiological states, improving realism without requiring complex real-time processing during image rendering
Solution Approach 2:
The patent introduces BVP signals and blood flow distribution as intermediary physiological parameters that mediate between the user's actual physiological state and the final portrait image adjustment. These intermediaries translate internal physiological conditions into actionable parameters for image processing, bridging the gap between physical reality and digital representation
2Measurement precision
If portrait filters ignore physiological parameters, then processing is simple and quick, but the adjusted image does not reflect real user condition
Solution Approach 1:
Blood flow distribution data is acquired in advance and stored for later use during image adjustment. This preliminary data collection enables accurate physiological representation during processing without requiring time-consuming real-time measurements, thus maintaining processing speed while improving measurement precision
Solution Approach 2:
The system uses the user's own BVP signals and blood flow distribution data to automatically determine appropriate image adjustment parameters. This self-service approach eliminates the need for manual input or external physiological measurements, maintaining fast processing while achieving accurate physiological representation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method and device enable more realistic and vivid portrait images by adjusting parameters based on physiological parameters, improving the overall visual experience.
Implementation Method 1
sensing a BVP (Blood Volume Pulse) signal of a user
Implementation Method 2
acquiring blood flow distribution of a specific portion of a user
Data Source
AI summary
A portrait image processing method, applying to a portrait image processing device, comprising: (a) acquiring a BVP (Blood Volume Pulse) signal of a user; (b) acquiring blood flow distribution of a specific portion of a user; (c) capturing an image of a specific portion of the user; and (d) adjusting the image of the specific portion according to the BVP signal and the blood flow distribution. A portrait image processing device, which comprises a camera and a processing circuit, is also disclosed. The processing circuit can acquire BVP signals from an image captured by the camera or from a PPG sensor.