Image Decoding with Subpicture Partitioning for Compression Efficiency
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to higher transmission and storage costs due to the increased amount of information, necessitating a more efficient image compression technique.
Innovation Solution
A method and apparatus for improving image coding efficiency by partitioning a current picture into slices, deriving residual samples, and encoding/decoding based on partitioning information, including flags for subpicture presence and slice inclusion, to enhance compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image data is transmitted using conventional wired/wireless broadband lines and stored using existing storage media, then high-resolution and high-quality images can be transmitted and stored, but transmission cost and storage cost increase
Solution Approach 1:
The image is divided into multiple slices, where each slice contains a subset of coding tree blocks. This segmentation allows for selective transmission and processing of only the necessary portions of the image, reducing overall data volume while maintaining quality where needed.
Solution Approach 2:
Different slices can be processed and transmitted with different levels of quality and precision based on their importance and content characteristics. This allows optimization of transmission cost versus image quality by applying higher quality to critical regions and lower quality to less important regions.
2Measurement precision
If image data is transmitted using conventional wired/wireless broadband lines and stored using existing storage media, then high-resolution and high-quality images can be transmitted and stored, but transmission cost and storage cost increase
Solution Approach 1:
The image is divided into multiple slices, where each slice contains a subset of coding tree blocks. This segmentation allows for selective transmission and processing of only the necessary portions of the image, reducing overall data volume while maintaining quality where needed.
Solution Approach 2:
Instead of transmitting the complete high-resolution image, only the necessary portions (slices) are transmitted and processed. This partial action approach reduces the quantity of information while maintaining sufficient quality for the intended application.
3Measurement precision
If a decoding apparatus decodes a current picture by deriving residual samples for each block, then image reconstruction is achieved, but processing time and computational complexity increase
Solution Approach 1:
The image is divided into multiple slices, where each slice contains a subset of coding tree blocks. This segmentation allows for selective transmission and processing of only the necessary portions of the image, reducing overall data volume while maintaining quality where needed.
Solution Approach 2:
Instead of processing the entire image, only the necessary portions (slices) are processed. This partial action approach reduces computational complexity and processing time while maintaining sufficient reconstruction accuracy for the transmitted regions.
Data Source
AI summary
A method for decoding an image by a decoding device, according to the present disclosure, can signal picture partitioning related information on the basis of a flag indicating whether sub-picture information exists and a flag indicating whether subpictures each include a single slice.


