Hologram Profile Optimization for Compact HMDs
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Solution Overview
Problem
Holographic display devices face challenges in miniaturization due to the large size of optical noise filtering systems, which hinder the development of compact head-mounted displays with high resolution, wide field of view, and wide eye-box requirements.
Innovation Solution
A hologram profile optimization method that replaces the optical noise filtering system by encoding the hologram profile into a binary profile using the ApproxSign function, calculating field values considering high-order diffraction term noise, and updating the profile to minimize intensity differences with a target image, thereby reducing the need for physical noise filtering components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If an optical noise filtering system is used to reduce noise in holographic images, then the noise filtering performance is improved, but the system size increases
Solution Approach 1:
The patent replaces the optical noise filtering system (mechanical/optical system) with a computational algorithm that processes hologram profiles. The algorithm encodes hologram profiles into binary profiles and applies optimization cycles to minimize noise, substituting physical optical components with software-based processing that achieves noise filtering without increasing system volume.
Solution Approach 2:
The patent extracts and removes the optical noise filtering system from the holographic display device entirely. By implementing noise filtering through algorithmic processing of hologram profiles rather than through separate optical components, the system eliminates the need for dedicated noise filtering hardware, thereby reducing overall system size.
2Object-affected harmful factors
If the number of optimization cycles is increased to improve noise filtering, then the noise reduction performance is improved, but the computing time increases
Solution Approach 1:
The patent applies a predetermined number of optimization cycles (e.g., 10-100 cycles) which is sufficient to achieve effective noise filtering without performing excessive iterations. This partial action approach balances noise reduction performance with computing time efficiency, avoiding unnecessary computational overhead while maintaining adequate noise filtering.
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
This approach allows for a reduction in system size by eliminating the optical noise filtering system, improving the peak signal-to-noise ratio of holographic images, and enabling more compact and efficient holographic display devices.
Implementation Method 1
calculating a field value of a holographic image on a display surface for the binary hologram profile, considering high-order diffraction term noise of the holographic image
Data Source
AI summary
A hologram profile optimization method includes: setting a first hologram profile as a variable; and performing an optimization cycle a predetermined number of times, wherein the optimization cycle includes encoding the first hologram profile into a binary hologram profile by using an ApproxSign function; calculating a field value of a holographic image on a display surface for the binary hologram profile, considering high-order diffraction term noise of the holographic image by using a tiling function; calculating an intensity of the holographic image on the display surface; calculating a loss function value based on a difference between the intensity of the holographic image and an intensity of a target image; and updating the first hologram profile to a second hologram profile based on the loss function value.