Plenoptic Point Cloud Compression via Differential Coding
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Solution Overview
Problem
Current methods for compressing plenoptic point clouds do not efficiently explore the correlation between color attributes, leading to suboptimal compression performance, especially in view-dependent color information preservation.
Innovation Solution
A hybrid approach using differential coding of plenoptic color attributes with the main color attribute as reference, combined with a transform to further compress data, and scaling to fit any bit image representation for video encoder compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If plenoptic point clouds are compressed by treating color attributes as individual attributes, then the compression process is simple, but the correlation between plenoptic colors is not explored, leading to suboptimal compression performance
Solution Approach 1:
The patent merges multiple plenoptic color attributes (RGB0, RGB1, ..., RGB(N-1)) into a unified compression framework that exploits their correlations. Instead of compressing each attribute independently, the invention combines them and applies differential coding and transforms to the combined data structure, achieving superior compression performance while maintaining manageable complexity.
2Reliability
If multiple color attributes are used to preserve view-dependent color information, then the quality of perception is improved, but the amount of data increases significantly
Solution Approach 1:
The patent applies parameter changes by transforming the plenoptic color attributes through differential coding (computing differences between adjacent attributes) and subsequent transforms. This changes the statistical parameters of the data, concentrating energy in fewer coefficients and enabling efficient compression while preserving the view-dependent color information quality.
3Productivity
If a hybrid solution with differential coding and transforms is used, then compression efficiency is improved, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by performing differential coding on the plenoptic color attributes before applying transforms and before the main video compression pipeline. This preliminary processing step simplifies the subsequent compression stages by pre-exploiting the temporal and spatial correlations between attributes, reducing the overall complexity of the complete encoding system.
Data Source
AI summary
The present invention refers to removal of redundant information from plenoptic point cloud data, reducing the number of bits needed to represent them and thus making the plenoptic point cloud data more suitable to be transferred through a medium of limited bandwidth. The proposed solution is based on predictive differential coding, using the standard color channel of a point clouds as a reference for plenoptic data, and on the application of transforms for greater data compression.