Margin Identification for Celestial Sphere Image Quality
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Solution Overview
Problem
Celestial sphere images face issues with image quality deterioration due to non-continuous surface connections in projection structures, texture pixel complementation in multi-face projection, and low resolution leading to poor boundary quality, especially when high-resolution layers overlap low-resolution layers.
Innovation Solution
A generation device and method that generates margin identification information for celestial sphere images, allowing easy acquisition of regions with and without margins, using spherical or 2-dimensional coordinate systems, and representing region information in projected or packed frames, with options for margin types and allocations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If margin identification information is generated to identify regions with margins, then image quality deterioration is suppressed, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and embedding margin identification information into the metadata during the content creation phase. This allows reproduction devices to easily identify regions with margins without performing complex real-time calculations, thus suppressing image quality deterioration while avoiding increased processing complexity during playback.
2Measurement precision
If region calculation process is performed to recognize regions with margin, then accurate region identification is achieved, but ease of operation deteriorates
Solution Approach 1:
The patent pre-calculates margin identification information and embeds it in the metadata during content creation. This eliminates the need for clients to perform complex region calculation processes, allowing accurate region identification while significantly improving ease of operation.
Solution Approach 2:
The patent introduces margin identification information as an intermediary element in the metadata that mediates between the complex region calculations and the client's simple recognition needs. Clients can directly use this identification information without performing calculations, achieving both accuracy and ease of use.
3Measurement precision
If high-resolution layer overlaps low-resolution layer, then image quality is improved, but boundary quality deteriorates
Solution Approach 1:
The patent applies local quality by generating margins specifically at boundary regions where high-resolution and low-resolution layers overlap. These local margins prevent quality deterioration at critical boundaries while maintaining the benefits of layered resolution optimization in the overall image.
Solution Approach 2:
The patent uses beforehand cushioning by pre-establishing margin regions at potential boundary areas before the overlapping of high-resolution and low-resolution layers occurs. This proactive approach prevents quality deterioration at boundaries while allowing the layered structure to improve overall image quality.
Data Source
AI summary
There is provided a generation device, an identification information generation method, a reproduction device, and an image generation method capable of easily acquiring a region with a margin and a region with no margin. An identification information generation unit generates margin identification information for identifying that a celestial sphere image includes a region with a margin. A client that uses a margin can easily acquire a region including the margin and a client that does not use a margin can easily acquire a region including no margin. The present technology can be applied to a case in which a celestial sphere image is transmitted from a server and is received and reproduced on a client side.