Image Bitstream Sublayer Selection for Scalable Encoding
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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 increased amount of information bits, necessitating high-efficient image compression technologies.
Innovation Solution
An image encoding/decoding method and apparatus that determines sublayers based on the number of needed sublayers, enabling efficient transmission and storage of bitstreams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality image data is transmitted, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent segments the bitstream into multiple layers with different priority levels. High-priority layers contain essential image information for basic reconstruction, while low-priority layers contain additional details for enhanced quality. This allows receivers to selectively decode only the necessary layers based on available bandwidth and storage capacity, thereby maintaining image quality while reducing the quantity of transmitted information.
Solution Approach 2:
The patent changes the parameter of information representation by encoding image data in a hierarchical structure where each layer represents a different level of detail or quality. By adjusting which layers are transmitted and decoded, the system can dynamically control the trade-off between image quality and the amount of data transmitted, optimizing both parameters simultaneously.
2Manufacturing precision
If the number of sublayers is increased, then encoding precision is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic sublayer determination where the number of sublayers is not fixed but adapts based on the specific encoding requirements of each layer. The system determines the optimal number of sublayers needed for each layer based on factors such as reference layer availability and encoding precision requirements, thereby achieving high encoding precision without unnecessarily increasing device complexity.
Solution Approach 2:
The patent changes the parameter of sublayer configuration by allowing the number of sublayers to vary dynamically based on encoding needs. Instead of using a fixed large number of sublayers for all cases, the system adjusts the sublayer count to match the actual precision requirements, optimizing the balance between encoding precision and system complexity.
Data Source
AI summary
An image encoding/decoding method and apparatus is provided. The image decoding method comprises determining at least one layer in an output layer set (OLS), and determining a number of sublayers for the at least one layer.