Sub-Block Image Prediction for Lower Video Bitstream Volume
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images, particularly stereo-scopic content, leads to higher data volumes and associated transmission and storage costs, necessitating more efficient image compression techniques.
Innovation Solution
An image encoding/decoding method that derives prediction information in units of sub-blocks based on prediction parameters, utilizing neighboring block information to enhance encoding/decoding efficiency, including intra and inter prediction modes, motion vectors, and affine models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality image data is transmitted or stored, then image quality is improved, but transmission expenses and storage expenses increase
Solution Approach 1:
The current block is divided into multiple sub-blocks, and prediction parameters are derived independently for each sub-block. This segmentation allows more precise prediction adaptation to local image characteristics, improving compression efficiency without sacrificing image quality.
Solution Approach 2:
Different prediction parameters are applied to different sub-blocks within a block, allowing each sub-block to have optimized prediction parameters tailored to its specific content characteristics. This local adaptation improves the balance between compression efficiency and image quality preservation.
2Productivity
If prediction information is derived in a unit of sub-blocks based on prediction parameters, then encoding/decoding efficiency is improved, but device complexity increases
Solution Approach 1:
The block is segmented into sub-blocks with independent prediction parameter derivation. This segmentation enables parallel processing and more efficient encoding/decoding operations, improving productivity while managing complexity through modular processing units.
Solution Approach 2:
Prediction parameters are derived in advance for each sub-block during the encoding process, and these pre-computed parameters are then used during decoding. This preliminary action reduces the computational burden during the actual encoding/decoding operations, improving efficiency.
3Productivity
If prediction parameters are derived from neighboring blocks, then encoding/decoding efficiency is improved, but measurement precision of prediction accuracy decreases
Solution Approach 1:
Prediction parameters are derived specifically for each sub-block based on its neighboring blocks, rather than using a single prediction parameter for the entire block. This local quality approach improves prediction accuracy for each region while maintaining efficient encoding/decoding through the systematic derivation process.
Data Source
AI summary
An image encoding/decoding method according to the present invention may comprise the steps of: collecting prediction information from neighboring blocks of a current block; deriving a prediction parameter of the current block on the basis of the collected prediction information; and deriving prediction information for each of sub-blocks in the current block on the basis of the prediction parameter.