Image Decoding Residual Coding for Lower Bit Transmission
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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 large amount of information required, necessitating a more efficient image compression technique.
Innovation Solution
The method and apparatus improve image coding efficiency by signaling the TSRC enabled flag based on the sign data hiding enabled flag, preventing sign data hiding for transform skip blocks where TSRC is not enabled, thereby reducing the bit amount coded and enhancing overall residual coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality images are transmitted or stored, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent extracts and removes redundant or less important information from high-resolution images during compression, focusing on preserving only the most significant visual data. This allows maintaining perceived image quality while reducing the actual data volume, thereby lowering transmission and storage costs without requiring full high-resolution data to be transmitted or stored
Solution Approach 2:
The patent changes compression parameters and encoding settings to optimize the balance between image quality and data size. By adjusting compression ratios, quality thresholds, and encoding methods, the system achieves acceptable image quality at reduced bitrates, effectively lowering transmission and storage requirements while maintaining usable image quality
2Quantity of substance
If image data is compressed to reduce transmission and storage costs, then transmission cost and storage cost are reduced, but image quality deteriorates
Solution Approach 1:
The patent applies different compression quality levels to different regions of the image based on their importance. Critical regions (such as faces, text, or focal points) are preserved with higher quality, while less important background areas are compressed more aggressively. This selective approach maintains overall perceived image quality while achieving greater compression ratios and reducing transmission/storage costs
Solution Approach 2:
The patent uses predictive coding techniques where reference blocks or previously decoded areas serve as templates to generate current block data. By copying and adapting existing high-quality reference data rather than transmitting full high-resolution information, the system maintains image quality while significantly reducing the amount of data that needs to be transmitted or stored
3Quantity of substance
If conventional image compression techniques are used, then transmission and storage costs are reduced, but coding efficiency is insufficient
Solution Approach 1:
The patent implements dynamic adaptation of compression parameters based on content analysis. The system continuously analyzes image characteristics, complexity, and importance metrics, then dynamically adjusts compression settings, transform types, and quantization parameters in real-time during encoding. This dynamic approach optimizes coding efficiency for each specific image or video frame, achieving better compression ratios and faster processing compared to static conventional methods
Solution Approach 2:
The patent performs preliminary analysis and preprocessing of image data before main compression operations. By pre-identifying important regions, pre-calculating optimal block partitions, and pre-selecting appropriate encoding modes, the system streamlines the subsequent compression process. This preliminary action reduces overall processing time and improves coding efficiency while maintaining effective compression ratios for reduced transmission and storage costs
Data Source
AI summary
An image decoding method performed by a decoding apparatus according to the present document is characterized by comprising the steps of: acquiring image information; and generating a reconstructed picture on the basis of the image information.