Adaptive Image Resolution Signaling for Lower Bitstream Cost
Find Innovative SolutionsGenerate Solutions
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 transmitted information, necessitating high-efficient image compression technologies.
Innovation Solution
An image encoding/decoding method that adaptively adjusts quantization parameters, determines the use of coding tools, and applies resampling filters and chroma sampling formats for efficient resolution change, along with methods for signaling optimal resolution and dual tree usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality image data is transmitted and stored, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the resolution of reference pictures based on motion characteristics and complexity metrics. Instead of transmitting all reference pictures at full resolution, the system changes the resolution parameter adaptively - using lower resolutions for static or simple regions and maintaining higher resolutions for dynamic or complex regions, thereby reducing overall bitstream size while preserving necessary image quality
Solution Approach 2:
The patent implements local quality by applying different resolution levels to different regions of the image based on their specific characteristics. Motion-heavy regions or regions with high complexity maintain higher resolution, while static or simple regions use lower resolution. This localized approach ensures that image quality is preserved where needed while reducing transmission and storage costs in regions where high quality is less critical
2Quantity of substance
If reference picture resolution is reduced to lower bitstream size, then transmission cost is reduced, but decoding complexity increases
Solution Approach 1:
The patent applies preliminary action by performing resolution determination and signaling in the encoding phase before transmission. The encoder pre-processes reference pictures, determines their optimal resolution based on motion and complexity analysis, and signals this resolution information in advance. This allows the decoder to simply retrieve and use the predetermined resolution information without performing complex real-time analysis, thereby reducing decoding complexity
Solution Approach 2:
The patent implements feedback mechanisms where the encoder analyzes motion characteristics and picture complexity, then uses this feedback to determine appropriate resolution levels for reference pictures. The decoded picture buffer and motion estimation/compensation modules provide feedback information that guides the resolution selection process, enabling adaptive resolution adjustment that balances bitstream size with decoding complexity
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. A method by which an image decoding device decodes an image, according to the present disclosure, comprises the steps of: acquiring, from a bitstream, resolution information about the current image; determining, on the basis of the resolution information, the resolution to be applied to the current image; and changing the resolution of the current image to the determined resolution.