Webserver-Based Holographic Stereogram Production Using Deep Learning
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Solution Overview
Problem
Digital holography technology has not reached a commercial level due to the lack of user-friendly tools for content creation, requiring specialized knowledge in diffractive optics and holography, which acts as an entry barrier for widespread adoption.
Innovation Solution
A webserver-based video content production system and method that utilizes deep learning to simplify the creation of holographic stereogram photos, including image data acquisition, face recognition, frame stabilization, foreground-background separation, and post-processing, enabling users to produce high-quality holograms through a web environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital hologram content is generated using traditional methods requiring knowledge of diffractive optics and holography, then the quality and accuracy of hologram content can be maintained, but the complexity of operation and entry barrier increase significantly
Solution Approach 1:
The patent introduces an automated content production system that acts as an intermediary between the user and the complex hologram generation process. The system includes automated subject identification, frame extraction, and hologram generation modules that handle the technical complexity internally, allowing users to create holograms through simple operations without needing to understand diffractive optics or holography theory
Solution Approach 2:
The system performs self-service by automatically analyzing captured images, identifying subjects, extracting appropriate frames, and generating hologram content without requiring user intervention in the complex technical steps. The automated processing includes subject detection algorithms, frame selection based on motion analysis, and hologram synthesis, all executed autonomously to maintain quality while simplifying user interaction
2Ease of operation
If automated processing is introduced to simplify content creation, then ease of operation improves, but the device complexity and processing requirements increase
Solution Approach 1:
The patent divides the content production system into distinct functional modules: image capture module, subject identification module, frame extraction module, and hologram generation module. Each module handles a specific aspect of the processing pipeline, making the overall complex system manageable through modular design. The segmentation allows independent optimization of each component while maintaining overall system functionality
Solution Approach 2:
The patent replaces manual mechanical operations with automated computational processes. Instead of requiring users to manually select frames, adjust parameters, and control the hologram generation process, the system uses algorithms and software automation to perform these tasks. This substitution of mechanical/user operations with automated computational systems simplifies user interaction while managing complexity through software architecture
Data Source
AI summary
Provided are a webserver-based video content production system and method for printing a holographic stereogram photo. According to the webserver-based video content production system and method, an encoding process is performed on image data under a web environment to prevent data loss in a network communication process, and then the encoded image data is transmitted to a webserver. The webserver decodes the encoded image data and performs a second-half task (postprocessing) on the decoded image data using deep learning such that a high-quality hologram photo can be printed within a relatively short time without any unnecessary process.