Transform Coefficient Sign Prediction for Efficient Image Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution and high-quality video/images, particularly in immersive media formats like VR and AR, necessitates highly efficient image compression technologies to reduce transmission and storage costs while maintaining image quality.
Innovation Solution
A method and device for sign prediction in video coding systems, involving deriving neighboring samples for sign prediction of the current block, calculating costs of sign combination candidates, and generating reconstructed pictures based on residual samples to improve coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality video/images are transmitted or stored using existing media, then image quality is improved, but transmission and storage costs increase
Solution Approach 1:
The patent extracts and transmits only the residual information (difference between original and predicted blocks) rather than the entire high-resolution video data. By separating and encoding only the essential residual components, the system maintains image quality while significantly reducing the amount of data requiring transmission and storage.
Solution Approach 2:
The patent performs preliminary prediction of current blocks using neighboring blocks before encoding residuals. This preliminary action of generating prediction blocks allows the system to pre-process and compress data, reducing the actual transmission burden while preserving the ability to reconstruct high-quality images.
2Measurement precision
If sign prediction accuracy is improved by considering more sign combination candidates, then coding efficiency is improved, but calculation complexity increases
Solution Approach 1:
The patent applies different sign prediction strategies to different regions or contexts within the video data. By adapting the prediction approach to local characteristics (such as using different neighboring blocks for different prediction modes), the system achieves high prediction accuracy without uniformly applying complex algorithms throughout the entire data stream.
Solution Approach 2:
The patent dynamically adjusts prediction parameters such as the selection of neighboring blocks and prediction modes based on local video characteristics. By changing parameters like the number of candidates considered or the specific neighboring blocks used, the system optimizes the balance between prediction accuracy and computational complexity for different video content.
Data Source
AI summary
An image decoding method performed by a decoding device according to the present disclosure comprises the steps of: deriving neighboring samples for sign prediction of a current block; deriving costs of sign combination candidates for transform coefficients of the current block on the basis of the neighboring samples; predicting signs of the transform coefficients from the sign combination candidates on the basis of the costs; deriving residual samples of the current block on the basis of the predicted signs; and generating a reconstructed picture on the basis of the residual samples.