Intra Planar Prediction Using Bilinear Reference Interpolation
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Solution Overview
Problem
Existing intra planar mode prediction methods for digital video data encoding and decoding are inefficient in accurately predicting and reconstructing video frames, particularly in maximizing compression and maintaining image quality.
Innovation Solution
The method involves predicting the first sample within a current prediction unit using intra planar mode by referencing neighboring blocks and then using various interpolation techniques to predict the remaining samples, including linear and bi-linear interpolations, and a 1:2:1 filtering process to enhance prediction accuracy and compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional intra planar mode prediction is used, then the encoding process is simpler, but the prediction accuracy and image quality deteriorate
Solution Approach 1:
The prediction unit is divided into multiple sub-regions (first prediction unit and second prediction unit) with different prediction modes. The first prediction unit uses DC prediction mode for simple flat regions, while the second prediction unit uses planar prediction mode for regions requiring more detailed reconstruction, thereby improving overall prediction accuracy without uniformly increasing complexity
Solution Approach 2:
Instead of applying complex planar prediction to the entire prediction unit, the invention applies enhanced prediction techniques only to specific sub-regions where it is most beneficial. This partial application of advanced prediction methods improves accuracy in critical areas while limiting the increase in overall encoding complexity
2Manufacturing precision
If more complex prediction methods are applied, then the image quality improves, but the compression efficiency deteriorates
Solution Approach 1:
The prediction unit is segmented into different sub-regions with different prediction modes. By dividing the prediction unit into multiple smaller prediction units with different prediction modes, the patent achieves better image quality in regions requiring detailed reconstruction while maintaining compression efficiency in regions where simpler prediction suffices
Solution Approach 2:
Different prediction modes are applied to different spatial regions within the prediction unit based on local characteristics. The first prediction unit uses DC mode suitable for flat regions, while the second uses planar mode for regions with gradients, optimizing the balance between image quality and compression for each local area
3Speed
If simple prediction modes are used, then the encoding speed is faster, but the reconstruction accuracy deteriorates
Solution Approach 1:
The prediction unit is divided into multiple sub-units that can be processed independently with different prediction modes. This segmentation allows parallel processing of different regions, maintaining encoding speed while applying more accurate prediction methods where needed
Solution Approach 2:
Complex planar prediction is applied only to specific sub-regions where reconstruction accuracy is most critical, rather than uniformly across the entire prediction unit. This selective application maintains overall encoding speed while improving accuracy in key areas
Data Source
AI summary
New intra planar modes are introduced for predicting digital video data. As part of the new intra planar modes, various methods are offered for predicting a first sample within a prediction unit, where the first sample is needed for referencing to when processing the new intra planar modes. And once the first sample is successfully predicted, the new intra planar modes are able to predict a sample of video data within the prediction unit by processing a bi-linear interpolation of four previously reconstructed reference samples.