Image Privacy Object Replacement for High-Resolution Sharing
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Solution Overview
Problem
High-resolution images captured by portable devices can expose private information, such as iris patterns and fingerprints, leading to potential misuse for advertising, health status determination, and impersonation, necessitating a system to protect individual privacy while allowing image sharing.
Innovation Solution
A personal privacy preserving (PPP) system uses AI and machine learning to identify privacy-sensitive objects in images, calculate degrees of freedom, and replace them with realistic but fake data to prevent leakage, while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution images are used to capture detailed information, then image quality and diagnostic accuracy are improved, but privacy exposure and security risks worsen
Solution Approach 1:
The system segments the image into multiple regions of interest (faces, eyes, irises, fingerprints, keys) and processes each region separately. Privacy-sensitive regions are identified and replaced with synthetic alternatives while maintaining the overall image structure and quality.
Solution Approach 2:
The system creates synthetic copies of privacy-sensitive objects (irises, fingerprints, keys) that resemble the original objects but contain fabricated private information. These synthetic copies replace the actual biometric data while maintaining visual realism.
2Reliability
If privacy protection measures are applied to images, then privacy security is improved, but image quality and recognizability worsen
Solution Approach 1:
The system applies different processing quality to different regions of the image. High-quality synthetic replacements are applied only to privacy-sensitive regions (eyes, fingers, keys) while maintaining the original quality of non-sensitive regions, thus preserving overall image quality while achieving strong privacy protection.
Solution Approach 2:
The system changes the parameter of information content within privacy-sensitive regions by generating synthetic data with different biometric characteristics. This transforms the private information while maintaining the visual appearance and structural integrity of the image.
3Reliability
If synthetic replacement objects are generated for privacy protection, then privacy protection is improved, but computational complexity and processing time worsen
Solution Approach 1:
The system performs preliminary identification and classification of privacy-sensitive objects before generating synthetic replacements. By pre-identifying which regions require processing and what type of synthetic objects are needed, the system optimizes the generation process and reduces overall computational complexity.
Solution Approach 2:
The system applies synthetic replacement only to the extent necessary for privacy protection (partial action on privacy-sensitive regions only) rather than processing the entire image, thus reducing computational overhead while maintaining effective privacy protection.
Data Source
AI summary
A system is provided. The system includes at least one processor in communication with at least one memory device that includes instructions that cause the at least one processor to: a) receive an image including a plurality of objects; b) scan the image to identify one or more privacy objects in the plurality of objects in the image, wherein each privacy object of the one or more privacy objects includes private information; c) determine a number of degrees of freedom for each privacy object of the one or more privacy objects; d) generate a replacement object based upon the number of degrees of freedom for the corresponding privacy object, wherein the replacement object resembles the privacy object with private information removed; e) replace the privacy object with the replacement object in the image; and f) generate a modified image based upon the image and the one or more replacement objects.