Holographic Pattern Encoding via Multi-View Image Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for coding holographic patterns are computationally expensive and result in large data transmission costs, as they fail to effectively exploit the localized spatial information and redundancies within holographic patterns.
Innovation Solution
The method involves determining sets of light rays passing through points in a holographic pattern from different viewing positions, generating multiple two-dimensional views, arranging these views into a multi-view image, and compressing it to reduce computational complexity and signaling costs, while exploiting spatial and temporal redundancies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional video coding methods (MPEG-4, H.264) are applied to holographic patterns, then the coding can be performed using existing standards, but the computational complexity and data transmission costs become very high
Solution Approach 1:
The holographic pattern is segmented into multiple two-dimensional views corresponding to different viewing positions. Each view is generated by intersecting light rays at specific viewing positions in a viewing plane, allowing the complex 3D holographic data to be divided into manageable 2D components that can be processed using conventional video coding methods
Solution Approach 2:
The patent introduces an intermediary representation called multi-view images as an intermediate step between the original holographic pattern and the final coded data. This intermediary form preserves the essential visual information while being more suitable for conventional compression algorithms, thereby reducing computational complexity without significant loss of information
2Measurement precision
If wavelet-based decomposition (Fresnelets) is used to code holographic patterns, then the coding can exploit multi-resolution analysis, but the computational cost and data transmission requirements remain very high
Solution Approach 1:
The patent transforms the problem from 3D holographic space to multiple 2D viewing planes. By projecting the holographic pattern into multiple two-dimensional views from different perspectives, the method exploits the redundancy between these views to achieve efficient compression, thereby reducing data transmission volume while maintaining coding precision
3Ease of operation
If holographic patterns are coded by treating each pattern independently, then the coding process is straightforward, but temporal redundancies between patterns are not exploited
Solution Approach 1:
The patent performs preliminary organization of holographic patterns into sequences of multi-view images, establishing a temporal structure that enables subsequent exploitation of inter-frame redundancies. This preliminary arrangement allows conventional inter-frame prediction techniques to be applied, improving coding efficiency without significantly complicating the overall process
Data Source
Figure 1~5
Figure 2
Figure 3~4
AI summary
The invention relates to the encoding of at least one holographic pattern on which a light signal, which is representative of the light received by at least one object in perspective in a scene, is recorded, said encoding consisting of: determining, from said light signal and for each point in said holographic pattern, a set of N light rays passing through said point and corresponding to N different positions of observing said pattern, respectively; generating (C2), from the M sets of N determined light rays, a plurality of N two-dimensional views of said object, corresponding to said N positions of observing said pattern, respectively, by intersecting M predetermined rays at each of said observation positions contained in a viewing plane parallel to a plane containing said holographic pattern; arranging (C3) said N generated views in a multi-view image of said object, said N views corresponding to the sub-images of said multi-view image, respectively; and compressing (C4) said multi-view image.