Projection-Format 360 Image Decoding for Compression Bottlenecks
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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, necessitating improved performance in image encoding and decoding, particularly for 360-degree images.
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 specific projection formats like Equi-Rectangular, CubeMap, OctaHedron, and IcoSahedral, with image expansion based on partitioning units to enhance compression performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If 360-degree images are processed for virtual reality and augmented reality, then the amount of data generated increases massively, but the performance of image processing systems deteriorates
Solution Approach 1:
The patent divides the 360-degree image into multiple projection formats (e.g., equirectangular, cube map, octahedron, icosahedral) and processes each segment separately. This segmentation allows the system to handle the massive data by breaking it into manageable portions that can be encoded and decoded more efficiently, resolving the contradiction between data quantity and processing performance.
Solution Approach 2:
The patent changes the projection format parameters to optimize compression performance. By adjusting parameters such as pixel arrangement, projection type, and decoding order, the system achieves better compression ratios for the same amount of data, thereby improving processing performance without reducing data quality.
2Loss of energy
If image encoding and decoding is performed on 360-degree images, then compression performance is enhanced, but device complexity increases
Solution Approach 1:
The patent implements a universal image processing system that can handle multiple projection formats (equirectangular, cube map, octahedron, icosahedral) within a single encoding and decoding framework. This multi-functionality reduces device complexity by eliminating the need for separate processing systems for each projection type while maintaining enhanced compression performance across all formats.
Solution Approach 2:
The patent introduces projection format information as an intermediary element that guides the encoding and decoding process. This intermediary parameter simplifies the system complexity by providing a standardized way to manage different projection types, allowing the system to switch between formats without requiring complex reconfiguration.
Data Source
AI summary
Disclosed are methods and apparatuses for image data encoding/decoding. A method for decoding a 360-degree image includes the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; adding the generated prediction image to a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Therefore, the performance of image data compression can be improved.