Subpicture Slice Signaling for Efficient Image Compression
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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 picture into slices and encoding/decoding based on partitioning information, using flags to indicate the presence of subpictures and whether each subpicture includes only one slice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing 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 picture is divided into multiple slices, where each slice contains a specific portion of the picture data. This segmentation allows for more efficient compression and transmission by processing smaller data units independently, reducing the overall transmission cost while maintaining image quality.
Solution Approach 2:
Different slices can be processed and compressed with different levels of quality based on their importance or content characteristics. This allows optimal resource allocation where critical areas maintain high quality while less critical areas use lower compression ratios, reducing overall transmission cost.
2Manufacturing 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 picture is divided into multiple slices, where each slice contains a specific portion of the picture data. This segmentation allows for more efficient compression and storage by processing smaller data units independently, reducing the overall storage cost while maintaining image quality.
Solution Approach 2:
Different slices can be processed and compressed with different levels of quality based on their importance or content characteristics. This allows optimal resource allocation where critical areas maintain high quality while less critical areas use lower compression ratios, reducing overall storage cost.
3Manufacturing precision
If the amount of information or bits to be transmitted is increased for high-resolution and high-quality images, then image quality improves, but transmission cost increases
Solution Approach 1:
The picture is divided into multiple slices, where each slice contains a specific portion of the picture data. This segmentation allows for more efficient compression and transmission by processing smaller data units independently, reducing the overall transmission time and improving transmission efficiency while maintaining image quality.
Solution Approach 2:
Different slices can be processed and compressed with different levels of quality based on their importance or content characteristics. This allows optimal resource allocation where critical areas maintain high quality while less critical areas use lower compression ratios, improving overall transmission efficiency.
Data Source
AI summary
A method by which a decoding device decodes an image, according the present disclosure, comprises a flag related to whether there is sub-picture information and a flag related to whether a sub-picture includes a single slice, wherein the flag related to whether there is sub-picture information corresponds to a value of 0, and the flag related to whether the sub-picture includes the single slice corresponds to a value of 1.