Bitstream Picture Size Signaling for Adaptive Image Decoding
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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 rise in the amount of transmitted information, necessitating high-efficient image compression technology.
Innovation Solution
An image encoding/decoding method that determines a ratio between the size of an output picture and an input picture, encoding this ratio in a neural-network post-filter characteristics (NNPFC) supplemental enhancement information (SEI) message, and using a computer-readable recording medium to store and transmit the generated bitstream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality images are transmitted, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent changes the parameter of image resolution by introducing a scaling factor (ratio between output picture size and input picture size) that allows the system to operate at different quality levels. This enables adaptive compression where the scaling factor adjusts the balance between image quality and data量, resolving the contradiction between maintaining high image quality and reducing transmission/storage costs.
2Quantity of substance
If image compression is applied, then transmission cost and storage cost are reduced, but encoding/decoding efficiency may be compromised
Solution Approach 1:
The patent performs preliminary action by pre-defining the scaling factor and picture size parameters before actual encoding/decoding operations. The size information is prepared in advance and embedded in the bitstream, allowing the encoding/decoding process to proceed more efficiently without needing to calculate size parameters during real-time processing, thus maintaining high productivity while achieving compression.
3Adaptability or versatility
If size information is signaled in bitstream, then picture size can be determined, but bitstream complexity increases
Solution Approach 1:
The patent makes the size information signaling mechanism universal by integrating it into the existing NNPFC SEI message structure. The same message format used for neural network post-filter characteristics now also carries size information, allowing one structure to serve multiple functions. This avoids increasing bitstream complexity while still enabling flexible picture size determination for different encoding scenarios.
Data Source
AI summary
An image encoding/decoding method, a bitstream transmission method, and a computer-readable recording medium for storing a bitstream are provided. The image decoding method according to the present disclosure is an image decoding method performed by an image decoding device, and may be an image decoding method comprising the steps of: obtaining size information from a neural-network post-filter characteristics (NNPFC) supplemental enhancement information (SEI) message; and determining the size of an output picture on the basis of the size information, wherein the size information comprises information on the numerator value of the ratio between the size of the output picture and the size of an input picture and information on the denominator value of the ratio.