Wavefront Shaping Imaging Through Diffusive Media
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Solution Overview
Problem
Transmitting high frame rate encoded images is challenging due to substantial latencies involved in encoding and decoding, making it impractical for high frame rate use.
Innovation Solution
An image decoding system that uses a phase pattern encoded with a target image, a spatial light modulator to emit a wavefront-shaped light signal, and a diffusive medium to emit a decoded scattered light signal, with iterative adjustments to the phase pattern until the test image matches the target image, allowing for high frame rate processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional encoding and decoding methods are used, then image transmission can be achieved, but substantial latencies occur making it impractical for high frame rate use
Solution Approach 1:
The patent pre-characterizes the diffusive medium by measuring its scattering properties and storing them for later use. This preliminary characterization eliminates the need for real-time complex calculations during actual image transmission, thereby reducing latency and enabling high frame rate operation.
Solution Approach 2:
The patent pre-computes and stores transmission matrices for the diffusive medium during a calibration phase. These pre-computed matrices are then reused during high-speed image transmission, avoiding repeated complex computations and achieving the low latency required for high frame rates.
2Measurement precision
If wavefront shaping with iterative phase pattern adjustment is used, then accurate image decoding through diffusive medium is achieved, but the process complexity increases
Solution Approach 1:
The patent creates a simplified computational model (transmission matrix) that copies the essential scattering behavior of the diffusive medium. This model allows accurate image reconstruction without needing to simulate every scattering event, thereby maintaining precision while reducing computational complexity.
Solution Approach 2:
The patent transforms the complex physical scattering problem into a manageable mathematical problem by changing parameters from tracking individual photon paths to using statistical descriptors of the scattering medium. This parameter transformation enables accurate imaging through diffusive media with reduced computational burden.
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
Enables efficient decoding of high frame rate images by iteratively refining the phase pattern to accurately match the target image, reducing latency and improving practicality for high frame rate applications.
Implementation Method 1
a spatial light modulator communicatively coupled to receive the phase pattern and configured to emit a wavefront-shaped light signal based on the phase pattern
Implementation Method 2
a first diffusive medium positioned to receive the wavefront-shaped light signal and to emit a decoded scattered light signal of the target image
Data Source
AI summary
An image decoding system provides a phase pattern encoding a target image. A spatial light modulator is configured to emit a wavefront-shaped light signal based on the phase pattern. A first diffusive medium receives the wavefront-shaped light signal and emits a decoded scattered light signal of the target image. The target image is previously encoded in the phase pattern by transmitting another wavefront-shaped light signal shaped by a training phase pattern through a second diffusive medium to yield a scattered light signal encoding a test image. The second diffusive medium has the optical scattering characteristics of a first diffusive medium. The scattered light signal encoding the test image is emitted from the second diffusive medium and recorded. The training phase pattern is adjusted for successive iterations of the test image until the test image satisfies a compensation condition. The resulting training phase pattern yields the phase pattern.