Mixed NAL Unit Type Image Encoding and Decoding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a significant increase in the amount of transmitted and stored information, resulting in higher transmission and storage costs, necessitating the development of high-efficient image compression technologies.
Innovation Solution
The proposed solution involves an image encoding and decoding method based on a mixed NAL unit type, where a current picture is partitioned into subpictures with different NAL unit types, and the bitstreams are merged to improve encoding and decoding efficiency, allowing for efficient transmission and storage of high-resolution images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image resolution and quality are improved, then image quality is enhanced, but the amount of transmitted information and storage cost increase
Solution Approach 1:
The picture is divided into multiple subpictures, each with different NAL unit types (e.g., RASL, RADL, TRAIL). This segmentation allows different regions of the image to be encoded with appropriate compression levels, maintaining quality where needed while reducing overall data volume for transmission and storage.
Solution Approach 2:
Different NAL unit types are assigned to different subpictures based on their importance and characteristics. Critical regions use NAL types that ensure quality (e.g., RASL for random access), while less critical regions use more compressed formats, achieving local optimization of quality versus compression ratio.
2Productivity
If multiple subpicture bitstreams are merged into a single bitstream, then encoding and decoding efficiency is improved, but the complexity of processing mixed NAL unit types increases
Solution Approach 1:
Multiple subpicture bitstreams with different NAL unit types are merged into a single bitstream. This merging enables efficient encoding and decoding processes while maintaining the benefits of having different NAL types for different subpictures, improving overall productivity.
Solution Approach 2:
The patent introduces specific syntax elements and structures (e.g., subpicture parameter sets, NAL unit type indicators) that act as intermediaries to manage the complexity of mixed NAL unit types. These intermediaries provide a standardized interface for handling diverse NAL types without requiring complex custom processing logic.
Data Source
AI summary
An image encoding/decoding method and apparatus are provided. The image decoding method includes obtaining, from a bitstream, network abstraction layer (NAL) unit type information of at least one NAL unit including coded image data, determining a NAL unit type of at least one slice in the current picture based on the obtained NAL unit type information, and decoding the at least one slice based on the determined NAL unit type. The current picture includes a plurality of subpictures having different NAL unit types, the bitstream is a single bitstream obtained by merging a plurality of subpicture bitstreams for the subpictures.