360-Degree Image Reconstruction Across Projection Formats
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Solution Overview
Problem
Existing image processing systems struggle with the massive data generated for 360-degree images in virtual and augmented reality, requiring improved performance in image encoding and decoding.
Innovation Solution
A method for encoding and decoding 360-degree images that includes generating a predicted image using syntax information, combining it with a residual image, and reconstructing the image in various projection formats, such as Equi-Rectangular, CubeMap, OctaHedron, and IcoSahedral, to enhance compression performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image encoding/decoding methods are used for 360-degree images, then the processing can be performed with standard algorithms, but the performance is insufficient for handling the massive data generated by multi-view images
Solution Approach 1:
The patent divides the 360-degree image into multiple view images captured by different cameras, and processes each view separately through encoding and decoding operations. This segmentation allows the system to handle the massive data volume by breaking it into manageable units while maintaining overall processing performance
Solution Approach 2:
The patent transforms multi-view image data into 360-degree panoramic images, adding a dimensional transformation aspect to the processing. This dimensionality change enables more efficient compression and representation of the massive data generated by multiple cameras
2Manufacturing precision
If high-resolution and high-quality images are processed for virtual reality and augmented reality, then the image quality is improved, but the amount of data generated increases massively
Solution Approach 1:
The patent applies encoding parameters and compression algorithms to reduce the data volume of high-resolution 360-degree images while maintaining image quality. By changing the representation parameters through encoding/decoding processes, the system achieves quality preservation with reduced data requirements
Solution Approach 2:
The patent extracts essential visual information from multi-view high-resolution images to create compressed 360-degree representations. This extraction process removes redundant data while preserving the critical visual quality needed for VR and AR applications
3Adaptability or versatility
If multi-view images from multiple cameras are processed to create 360-degree images, then realistic media service is achieved, but the amount of data generated increases massively and processing performance becomes insufficient
Solution Approach 1:
The patent combines multiple view images from different cameras into unified 360-degree panoramic images through encoding and decoding operations. This merging process achieves versatile media service capability while the compression algorithms maintain processing performance by reducing the overall data volume
Data Source
AI summary
Disclosed are methods and apparatuses for decoding an image. A method includes receiving a bitstream obtained by encoding the image; dividing a first coding block into a plurality of second coding blocks; generating a prediction block of a second coding block based on syntax information obtained from the bitstream; and reconstructing the second coding block based on the prediction block and a residual block of the second coding block, the residual block being obtained by performing a dequantization and an inverse-transform on quantized transform coefficients from the bitstream. The first coding block has a recursive division structure. The first coding block is divided based on at least one of a quad tree division, a binary tree division or a triple tree division.