Inter Prediction Mode Encoding for Image Compression
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images, such as HD and UHD, leads to higher data transmission and storage costs due to increased information and bit requirements, necessitating more efficient image compression techniques.
Innovation Solution
An inter prediction method and apparatus that improves image compression efficiency by performing inter prediction on current blocks, encoding mode information, and transmitting encoded mode information, which includes residual flag and merge flag information, to select candidate blocks for deriving motion information and generate prediction blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality images (HD, UHD) are transmitted and stored, then image quality is improved, but transmission costs and storage costs are increased
Solution Approach 1:
The patent extracts and transmits only the essential information needed for image reconstruction by using inter prediction techniques. Instead of transmitting all pixel data, the system predicts pixel values from reference pictures and only transmits the difference (residual) when necessary, thereby reducing transmission data volume while maintaining image quality.
Solution Approach 2:
The patent changes the representation parameters of image data by using prediction modes (merge mode, skip mode, regular prediction mode) and encoding only mode information and residual signals when needed. This parameter transformation allows high-quality images to be transmitted with fewer bits, reducing transmission costs.
2Measurement precision
If more bits are allocated for high-resolution images, then image quality is improved, but the amount of data for transmission is increased
Solution Approach 1:
The patent applies partial action by selectively transmitting residual signals only when necessary (when prediction accuracy is insufficient). In many cases where reference pictures closely match the current picture, no residual transmission is needed, reducing data quantity while maintaining image quality through the prediction mechanism.
Solution Approach 2:
The patent creates a universal encoding framework that handles different image scenarios (high motion, low motion, various resolutions) using a unified set of prediction modes and residual encoding techniques. This multi-functional approach efficiently adapts to different image characteristics without requiring separate processing paths.
3Measurement precision
If inter prediction with residual signals is used, then prediction accuracy is improved, but encoding complexity is increased
Solution Approach 1:
The patent implements dynamic encoding by adaptively selecting between different prediction modes (merge mode, skip mode, regular prediction mode) and selectively applying residual encoding based on the specific image content and prediction accuracy requirements. This dynamic approach optimizes the balance between prediction accuracy and encoding complexity for each block.
Solution Approach 2:
The patent segments the image into multiple blocks and applies different prediction and residual encoding strategies to each block independently. This segmentation allows the system to achieve high prediction accuracy for complex blocks while using simpler modes for easier blocks, managing overall encoding complexity through localized optimization.
Data Source
AI summary
According to the present invention, an inter-prediction method includes: receiving mode information on the inter-prediction of a current block; decoding the received mode information; and performing inter-prediction using the decoded mode information. According to the present invention, image compression efficiency may be improved.