Image Decoding Through Multi-Layer OLS Mapping for HRD and DPB Data
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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
An image decoding method and apparatus that derive and utilize a multi-layer Output Layer Set (OLS) index to efficiently signal Hypothetical Reference Decoder (HRD) and Decoded Picture Buffer (DPB) related information, preventing incorrect mapping and enhancing overall coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional image compression techniques are used for high-resolution and high-quality images, then transmission and storage costs increase due to the large amount of information, but using more aggressive compression may reduce image quality
Solution Approach 1:
The patent segments the image data into multiple layers with different quality levels and resolutions. Each layer can be independently encoded and transmitted, allowing selective transmission of essential layers first. This segmentation enables efficient bandwidth utilization while maintaining the ability to reconstruct high-quality images when all layers are available.
Solution Approach 2:
The patent employs scalable coding parameters that allow the same image data to be represented at multiple quality and resolution levels. By changing encoding parameters such as quantization steps, transformation types, and layer inclusion, the system can adapt the compression ratio dynamically based on available bandwidth and storage capacity without sacrificing the ability to restore original quality.
2Productivity
If multi-layer OLS indexing is implemented for signaling HRD and DPB information, then coding efficiency improves and incorrect mapping is prevented, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary indexing mechanism that maps multiple Output Layer Set (OLS) configurations to a unified Hypothetical Reference Decoder (HRD) and Decoded Picture Buffer (DPB) parameter set. This intermediary index acts as a mediator that resolves the complexity by providing a standardized reference point, allowing decoders to efficiently access the correct parameters without directly managing the full complexity of multi-layer OLS configurations.
Solution Approach 2:
The patent creates a universal indexing system that can handle multiple OLS configurations through a single standardized interface. The multi-layer OLS index serves multiple functions: it identifies the target OLS, retrieves appropriate HRD parameters, and accesses corresponding DPB information. This multi-functional index reduces the need for separate handling mechanisms for each parameter type, thereby improving coding efficiency while managing system complexity.
Data Source
AI summary
An image decoding method performed by a decoding apparatus, according to the present document, comprises the steps of: deriving a multilayer output layer set (OLS) index of a target OLS in a list of multilayer OLSs; acquiring hypothetical reference decoder (HRD)-related information and decoded picture buffer (DPB)-related information for the target OLS, on the basis of the multilayer OLS index; and decoding a picture within the target OLS, on the basis of the HRD-related information and the DPB-related information, wherein the multilayer OLSs are OLSs including a plurality of layers, and the target OLS is one of the multilayer OLSs.