Light-field messaging robust to camera-display transfer effects

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Solution Overview

Problem

Existing light field messaging methods suffer from camera-display transfer effects and require temporal synchronization, leading to performance issues and perceptible artifacts in hidden message transmission.

Innovation Solution

A method that learns a camera-display transfer function to simulate distortion effects, allowing for robust message retrieval without temporal changes, using an embedding model to encode messages in images and a recovery model to decode them, trained with diverse camera and display data to minimize distortion and maintain perceptual quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional steganography techniques (spatial or transform domain) are used to embed hidden information in displayed images, then information can be concealed in the digital domain, but the techniques are not robust with respect to light-transmission in light field messaging and suffer from camera-display transfer effects

Engineering Contradiction:
Improverobustness to camera-display transfer effectsVSAvoidmessage fidelity
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent changes the fundamental parameter domain from digital pixel manipulation to physical light field modulation. Instead of modifying pixel values in the digital domain, the system modulates the actual light parameters (intensity, phase, polarization) emitted from the display screen. This physical layer approach makes the embedded information robust to camera-display transfer effects because the modulation occurs in the light transmission medium itself, not in the digital representation that undergoes compression and processing artifacts.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent replaces the mechanical/digital processing system with an optical field-based system. Traditional steganography relies on digital signal processing and pixel manipulation, while this invention uses light field messaging where information is encoded in the optical properties of light emitted from the display. The camera captures the light field directly, and computational algorithms reconstruct the hidden message from the optical measurements, substituting digital-domain operations with optical-domain operations that are inherently more robust to transfer effects.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If existing light field messaging methods are used, then hidden information can be transmitted through displayed images, but the methods require temporal synchronization and produce perceptible artifacts

Engineering Contradiction:
Improvemessage transmission reliabilityVSAvoidtemporal synchronization requirement
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-modulating the light field parameters with the hidden information before the light reaches the camera. The display screen embeds the information in the spatial or spectral distribution of emitted light using techniques like spatial light modulation or wavelength multiplexing. This pre-encoding in the optical domain eliminates the need for temporal synchronization because the information is encoded in the spatial structure of the light field itself, not in temporal variations that require synchronized capture and playback.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent transitions from temporal encoding to spatial encoding by utilizing the spatial dimensions of the light field. Instead of modulating light intensity over time (temporal dimension), the system encodes information in the spatial distribution, angle, or spectral composition of emitted light. The camera captures the spatial light field, and computational reconstruction extracts the hidden message from spatial correlations or spectral signatures, eliminating temporal synchronization requirements and reducing perceptible artifacts since the modulation is in the spatial domain rather than temporal domain.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Loss of information

If spatial or transform domain steganography techniques are used, then information can be embedded in carrier images, but the techniques are not robust with respect to light-transmission and compression effects

Engineering Contradiction:
Improveinformation capacityVSAvoidrobustness to compression and transmission
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The patent replaces digital signal processing with optical field modulation. Instead of embedding information in pixel values that undergo compression and transmission degradation, the system modulates the physical light field parameters directly. The information is encoded in the optical properties (intensity distribution, phase, polarization, or spectral content) of light emitted from the display. This optical-domain encoding is robust to compression and transmission effects because the modulation occurs in the physical light medium before any digital processing, making the information resilient to subsequent compression artifacts and transmission losses.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11790475B2Light-field messaging to embed a hidden message into a carrier
Publication Date: 2023.10.17 RUTGERS THE STATE UNIV
  • US11790475B2 patent drawing
  • US11790475B2 patent drawing
  • US11790475B2 patent drawing

AI summary

A method of light messaging, in which a hidden message is transmitted via coded image emitted from a display device and retrieved using a camera, comprises training a camera-display transfer model that receives images with hidden messages from an embedding model and generates modified coded images based on training data that accounts for properties of displays and cameras, the modified coded images delivered to a recovery model that decodes the hidden messages and outputs hidden message determinations, training both the embedding and recovery models using the CDTF model and training data to minimize differences between the input hidden messages and the hidden message determinations. After training the CDTF model and other models, embedding a hidden message in a carrier image using the embedding model, displaying the coded image using the display device, receiving the coded image at the camera, and retrieving the hidden message using the recovery model.