Light Field Image Processing Apparatus Derivative Data Association
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Solution Overview
Problem
Existing image processing technologies face challenges in accurately associating additional information with derivative light field information, leading to inclusion of irrelevant data when original and derivative information are linked.
Innovation Solution
An image processing apparatus and method that generate derivative information from light field data, analyze it to extract features, and attach appropriate additional information based on these features, ensuring relevant data is linked with the correct derivative images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If additional information from original light field information is associated with derivative information, then information availability is improved, but information accuracy deteriorates due to inclusion of irrelevant data
Solution Approach 1:
The patent segments additional information by creating separate data structures for different focus distances. Each derivative image receives only the additional information relevant to its specific focus distance, rather than inheriting all information from the original light field data. This segmentation ensures that each image package contains precisely the information needed for that particular view, eliminating irrelevant data while maintaining complete information availability.
Solution Approach 2:
The patent extracts only the relevant portion of additional information from the original light field information and attaches it to each derivative information package. The extracting unit selectively retrieves additional information that corresponds to the specific focus distance of each derivative image, separating relevant data from irrelevant data in the process.
2Quantity of substance
If comprehensive additional information is attached to all derivative images, then information completeness is improved, but data processing complexity increases
Solution Approach 1:
The patent divides the additional information into multiple segmented sets, each corresponding to a specific focus distance range. This segmentation allows the system to attach only the necessary subset of information to each derivative image, reducing the overall data processing complexity while ensuring that each image receives complete information for its specific purpose.
Solution Approach 2:
The patent performs preliminary organization of additional information by focus distance before generating derivative images. The additional information is pre-segmented and prepared in advance, so that when derivative images are generated, the relevant information is already organized and ready for attachment, significantly reducing processing complexity during the derivative image generation phase.
3Quantity of substance
If all subjects are included in additional information, then information coverage is improved, but relevance accuracy deteriorates for specific focused views
Solution Approach 1:
The patent applies local quality by making the additional information specific to each focus distance rather than uniform across all derivative images. Each derivative image receives additional information that is locally optimized for its specific focus distance, ensuring that the information is highly relevant to that particular view. This local customization maintains comprehensive coverage across all possible views while ensuring high relevance accuracy for each individual view.
Data Source
AI summary
An image processing apparatus that processes light field information indicating the intensity distribution of light and incident directions of light, and a method for controlling the same are disclosed. A derivative information analyzing unit 113 analyzes a derivative information that is generated by a derivative information generating unit 112 from light field information, and obtains information representing features of the derivative information. An additional information editing unit 114 generates additional information to be attached to a derivative information, based on the information representing features of the derivative information.