Holographic Image Processing for Vision-Corrected Displays
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Solution Overview
Problem
Current methods for processing computer-generated holograms (CGHs) face challenges in accurately rendering holographic images for users with varying vision, particularly in virtual reality, augmented reality, and mixed reality applications, due to limitations in focal length and distance adjustments, leading to suboptimal image clarity without corrective lenses.
Innovation Solution
The method involves performing a double-stage Fourier transform based on the focal length and distance of an observer's eye lens, allowing for the generation and reconstruction of holographic images that account for individual vision parameters, including focal length and pupil radius, to enhance image clarity without the need for corrective lenses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a standard Fourier transform is used for CGH generation, then the processing is simple and fast, but the image clarity is poor for users with varying vision parameters
Solution Approach 1:
The patent implements dynamic adjustment of Fourier transform parameters (focal length and distance) based on individual user vision characteristics. The system stores multiple vision profiles and selects appropriate parameters for each user, making the CGH generation process adaptive rather than static. This resolves the contradiction by allowing the system to switch between simple standard transforms and customized transforms depending on user needs.
Solution Approach 2:
The patent changes the parameters of the Fourier transform (specifically focal length and distance parameters) to match individual user vision characteristics. By storing vision information including focal length, refractive power, and other optical parameters, the system adjusts the transform parameters to compensate for users' visual deficiencies, thereby improving image clarity without requiring corrective lenses.
2Measurement precision
If corrective lenses are provided for users with vision defects, then image clarity improves, but the device complexity and user convenience deteriorate
Solution Approach 1:
The patent replaces the mechanical/optical solution of physical corrective lenses with a computational approach. Instead of requiring users to wear glasses or contact lenses, the system uses customized Fourier transform algorithms to pre-correct the holographic image data, compensating for vision defects through mathematical operations rather than physical optical elements.
Solution Approach 2:
The system performs vision correction in advance during the CGH generation process. By storing user vision information and applying appropriate transform parameters before image display, the correction is built into the holographic data itself, eliminating the need for users to take additional actions like putting on corrective lenses during use.
3Productivity
If generic CGH processing is used, then the processing speed is fast, but the adaptability to individual users deteriorates
Solution Approach 1:
The patent creates a dynamic system that adapts to individual users by storing multiple vision profiles and selecting appropriate parameters for each user. The system maintains a database of user-specific vision information and dynamically adjusts the Fourier transform parameters based on the selected user profile, enabling both fast processing and personalized adaptation.
Solution Approach 2:
The patent creates a universal system that can handle multiple user types and vision conditions through a single platform. By implementing a standardized interface for storing and retrieving vision information along with configurable transform parameters, the system serves diverse user needs (different focal lengths, refractive powers, and vision defects) through one multi-functional framework.
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 enables clearer and more personalized holographic image display for users by accurately calculating and adjusting the interference patterns based on observer-specific vision data, improving the viewing experience in VR, AR, and MR environments.
Implementation Method 1
obtaining interference patterns in a computer-generated hologram (CGH) plane by performing a Fourier transform on the image data
Implementation Method 2
a primary Fourier transform for calculating propagation of light waves from a retinal plane to an eye lens plane of the observer, and a secondary Fourier transform for calculating the propagation of light waves from the eye lens plane to the CGH plane
Implementation Method 3
A hologram may be displayed on a 3D space by using an interference pattern of an object wave and a reference wave
Data Source
AI summary
Provided are methods of processing a holographic image and apparatuses using the methods. A method includes obtaining image data with respect to a three-dimensional (3D) object, obtaining interference patterns in a computer-generated hologram (CGH) plane by performing a Fourier transform on the image data, and generating a CGH with respect to the 3D object based on the interference patterns, wherein the Fourier transform is performed based on a focal length of an eye lens of an observer.