Holographic Image Data Segmentation for Storage Efficiency
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Solution Overview
Problem
Current technologies for generating and processing holographic images lack efficiency in integrating all characteristic elements, leading to suboptimal storage, transmission, and conversion processes.
Innovation Solution
A method that separates and processes image data into distinct components such as image main data and characteristic data, including sub-frame and branched sub-frame data, to generate and output holographic images efficiently, utilizing techniques like Fourier transformation and optical compensation to enhance display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional 2D image processing methods are used for holographic images, then the processing is simple, but the holographic image characteristics (imaging distance, viewing angle, surface-hidden relationship) are lost
Solution Approach 1:
The patent segments holographic image data into multiple characteristic elements including imaging distance, viewing angle, surface-hidden relationship, and other depth information. Each element is processed and stored separately to preserve the complete 3D holographic characteristics while enabling efficient retrieval and reconstruction.
2Productivity
If all holographic image elements are integrated and processed together, then the information is complete, but the storage and transmission efficiency is low
Solution Approach 1:
The patent divides the holographic image data into distinct characteristic elements (imaging distance, viewing angle, surface-hidden relationship) that can be processed, stored, and transmitted independently. This segmentation improves efficiency while maintaining completeness through structured reintegration.
Solution Approach 2:
The patent employs a nested data structure where multiple levels of holographic characteristics are organized hierarchically. Characteristic elements are nested within frame data, which is nested within the overall holographic image structure, allowing efficient storage and selective processing of different detail levels.
3Productivity
If real-time holographic image generation is implemented, then the display capability is enhanced, but the computational burden increases
Solution Approach 1:
The patent performs preliminary processing of holographic image data by pre-calculating and organizing characteristic elements (imaging distance, viewing angle, surface-hidden relationship) before actual display. This preliminary structuring enables faster real-time generation by avoiding redundant computations during the display phase.
Solution Approach 2:
By segmenting the holographic data into distinct characteristic elements, the patent enables parallel processing of different elements, reducing the overall computational time and energy required for real-time generation while maintaining complete information.
Data Source
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AI summary
The present invention provides an imaging method for an image, including the following steps: step 1: receiving image data, the image data including an image main data and image characteristic data; and step 10: processing the image main data according to the image characteristic data, generating the holographic image and outputting the holographic image. The present invention provides an imaging method and a data generation method for a holographic image, and an apparatus that include each characteristic element of the holographic image and can further improve the efficiency of each link in storage, transmission and conversion.