360-Degree Image Reconstruction Using Projection-Format Compression
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Solution Overview
Problem
The existing image processing systems face challenges in efficiently handling the massive data generated by 360-degree images for virtual and augmented reality applications, with insufficient performance in encoding and decoding high-resolution 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 a specific projection format, such as Equi-Rectangular, CubeMap, OctaHedron, or IcoSahedral, 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 system decreases
Solution Approach 1:
The patent divides the 360-degree image into multiple equirectangular images representing different regions (e.g., front, back, left, right views). Each region is processed and encoded independently, reducing the computational burden on the processing system while maintaining the complete 360-degree coverage. This segmentation allows the system to handle large amounts of data more efficiently.
Solution Approach 2:
The patent transforms the 360-degree spherical image data into multiple 2D equirectangular projections. This dimensional transformation enables the use of standard 2D image processing and encoding techniques to handle 360-degree content, thereby improving processing performance while maintaining the comprehensive coverage of the original 360-degree image.
2Manufacturing precision
If image resolution is increased for high definition and ultra high definition, then image quality improves, but processing time and computational load increase
Solution Approach 1:
The patent segments the high-resolution 360-degree image into multiple lower-resolution equirectangular representations of different regions. This allows the system to process and encode smaller image blocks independently, reducing processing time while maintaining high overall image quality through the combination of segmented regions.
Solution Approach 2:
The patent applies different processing qualities and resolutions to different regions of the 360-degree image based on their importance and visual characteristics. Critical regions can be processed at higher quality while less critical regions use lower quality processing, optimizing the balance between image quality and processing time.
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.