Decoded Picture Buffer Updating for Output Layer Set Coding
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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 large amount of information required, necessitating a more efficient image compression technique.
Innovation Solution
The method and apparatus involve deriving DPB parameters for output layer sets (OLS) to adaptively update the decoded picture buffer (DPB) and improve coding efficiency by signaling DPB parameters for OLS, enabling efficient image decoding and encoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality images are transmitted or stored using conventional methods, then image quality is maintained, but transmission cost and storage cost increase significantly
Solution Approach 1:
The patent changes parameters related to picture management by introducing DPB parameter information for output layer sets (OLS) and OLS DPB parameter indexes. This allows adaptive updating of the decoded picture buffer (DPB) parameters, enabling more efficient compression while maintaining image quality, thus reducing transmission and storage costs
2Productivity
If DPB parameters are adaptively updated for output layer sets, then coding efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the DPB management by introducing separate DPB parameter information for different output layer sets (OLS). Each OLS can have its own DPB parameter index, allowing independent and adaptive updating. This segmentation enables improved coding efficiency for each layer set while managing complexity through modular parameter handling
Solution Approach 2:
The patent implements dynamic DPB parameter updating by allowing the DPB parameters to be adaptively changed based on the OLS DPB parameter index. This dynamic approach enables the system to optimize coding efficiency for different picture types and layer sets without requiring a completely complex reconfiguration, as the changes are made through parameter indexing rather than structural redesign
Data Source
AI summary
An image decoding method performed by a decoding apparatus, according to the present document, comprises the steps of: acquiring image information including decoded picture buffer (DPB) parameter information for output layer sets (OLSs) and an OLS DPB parameter index for a target OLS; and deriving DPB parameter information for the target OLS from among the DPB parameter information for the OLSs on the basis of the OLS DPB parameter index.


