Subpicture Alignment Across Layers for Efficient Image Decoding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a significant increase in transmission and storage costs due to the rise in the amount of transmitted information or bits, necessitating high-efficient image compression technology.
Innovation Solution
An image encoding/decoding method and apparatus that utilizes subpicture information aligned between layers, including a first flag to specify whether each subpicture is treated as a picture, and generates a bitstream for efficient encoding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image resolution and quality are improved, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The image is divided into multiple subpictures that can be independently processed and transmitted. The subpicture information is aligned between layers to enable efficient decoding, allowing selective transmission of only necessary subpicture data while maintaining overall image quality.
Solution Approach 2:
The patent introduces a layer structure with multiple levels of subpictures. By organizing images in this hierarchical dimensional structure, the system enables progressive decoding and selective transmission, reducing the total amount of data that needs to be transmitted while preserving quality through the aligned subpicture information across layers.
2Productivity
If subpicture information is aligned between layers, then encoding/decoding efficiency is improved, but device complexity increases
Solution Approach 1:
The subpicture information alignment mechanism serves multiple functions: it enables efficient inter-layer prediction, facilitates parallel processing of subpictures, and provides a unified structure for both encoding and decoding operations. This multi-functionality justifies the added complexity by delivering significant efficiency gains across multiple processing dimensions.
Data Source
AI summary
Provided is an image encoding/decoding method and apparatus. The image decoding method comprises obtaining subpicture information from a bitstream, deriving one or more subpictures in a current picture based on the subpicture information, and decoding a current subpicture in the current picture based on the subpicture information. The subpicture information may comprise a first flag specifying whether each of the one or more subpictures is treated as a picture, and, based on the bitstream including at least one first layer referring to a current layer including the current picture, the first flag for the first subpicture included in a first layer and corresponding to the current subpicture, and the first flag for the current subpicture have the same value.