Skip Intra Prediction Using Filtered References to Cut Blocking Artifacts
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Solution Overview
Problem
Existing image coding methods suffer from blocking artifacts, quantization errors, and inefficiencies due to the lack of deblocking filtering and spatially limited intra prediction, which affect the quality and efficiency of coding and decoding processes.
Innovation Solution
Implement skip coding by generating prediction signals similar to coding object signals using filtered reconstructed signals and skipping residual signals, employing various filters such as low pass, deblocking, adaptive loop, interpolation, and noise removing filters to enhance intra prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If deblocking filtering is not applied to spatially adjacent reconstructed signals during intra prediction, then the coding process is simpler and faster, but blocking artifacts occur and image quality deteriorates
Solution Approach 1:
The patent applies deblocking filtering to spatially adjacent reconstructed signals before they are used in intra prediction. This preliminary filtering action removes blocking artifacts from the reference signals, ensuring that the prediction process works with clean, artifact-free data while maintaining coding efficiency
2Productivity
If only pixels in integer pel unit are used for spatial prediction, then the prediction process is simpler and more efficient, but spatially limited intra prediction occurs and prediction accuracy decreases
Solution Approach 1:
The patent extends spatial prediction from integer pel unit to sub-pel unit by introducing fractional pixel offset. This dimensional extension allows the system to access and utilize sub-pixel information from reference blocks, significantly improving prediction accuracy while maintaining computational efficiency through the optimized prediction formula
3Device complexity
If only object signals of coding and adjacent reconstructed signals are used for intra prediction, then the prediction process is simpler and more efficient, but spatially limited intra prediction occurs and prediction quality deteriorates
Solution Approach 1:
The patent creates a unified prediction mechanism that handles both integer pel and sub-pel cases through a single prediction formula. This universal approach allows the same prediction process to accurately predict both coarse and fine detail regions, improving overall prediction quality without increasing process complexity
4Productivity
If skip coding is implemented by generating prediction signals using filtered reconstructed signals and skipping residual signals, then coding efficiency increases, but additional filtering and prediction processing is required
Solution Approach 1:
The patent implements skip coding where the prediction signals generated from filtered reconstructed signals are used directly as the final reconstructed signals, eliminating the need to code residual signals. This self-service mechanism allows the system to leverage already-processed reference data to directly produce output, significantly improving coding efficiency while the filtering and prediction operations are performed only once during reference signal preparation
Data Source
AI summary
The present invention relates to an apparatus and method for encoding and decoding an image by skip encoding. The image-encoding method by skip encoding, which performs intra-prediction, comprises: performing a filtering operation on the signal which is reconstructed prior to an encoding object signal in an encoding object image; using the filtered reconstructed signal to generate a prediction signal for the encoding object signal; setting the generated prediction signal as a reconstruction signal for the encoding object signal; and not encoding the residual signal which can be generated on the basis of the difference between the encoding object signal and the prediction signal, thereby performing skip encoding on the encoding object signal.