Video Frame Encoding with Adaptive Pixel Offsetting
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Solution Overview
Problem
Internal Bit Depth Increase (IBDI) methods, such as left shifting, spread non-zero differences between consecutive spatial samples, leading to emphasized high frequencies in the transform domain and reduced coding efficiency.
Innovation Solution
Adaptive offsetting of pixel values based on their spatial neighborhood, de-emphasizing high frequencies by using processing means to apply offsets dependent on neighboring pixel values, thereby modifying video frames for encoding and decoding at increased bit depth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Internal Bit Depth Increase (IBDI) is applied by left shifting to extend transforms precision and reference frames buffer precision, then coding performance is improved, but high frequencies are emphasized in the transform domain leading to reduced coding efficiency
Solution Approach 1:
The patent applies different offsetting operations to different regions of the video frame based on local characteristics. By analyzing spatial neighborhoods and applying adaptive offsets only where necessary, the method locally adjusts pixel values to de-emphasize high frequencies without uniformly processing the entire frame, thus maintaining coding efficiency while preserving the benefits of increased bit depth in critical areas
Solution Approach 2:
The patent modifies the pixel value distribution by applying adaptive offsetting that changes the statistical parameters of the signal. By adjusting the offset values based on spatial neighborhoods and pixel value ranges, the method transforms the high-frequency emphasized signal into a more compressible form, effectively changing the signal parameters to improve coding efficiency while maintaining the increased precision benefits
2Measurement precision
If Internal Bit Depth Increase (IBDI) is applied to improve codec performance, then reference frames buffer precision is extended, but bit stream size increases for given quality levels
Solution Approach 1:
The adaptive offsetting method applies local adjustments based on spatial neighborhoods, processing only the necessary regions with increased precision. This localized approach maintains reference frame precision where needed while avoiding unnecessary bit depth increases in uniform regions, thereby reducing the overall bit stream size compared to uniform IBDI application
Solution Approach 2:
The patent applies offsetting operations selectively rather than uniformly across all pixel values. By applying offsets only to pixels within specific value ranges and spatial neighborhoods, the method achieves the necessary precision improvement with partial action, reducing the total data volume required in the bit stream while maintaining quality
Data Source
AI summary
A method and a device are described for modifying a video frame for encoding or decoding wherein values of pixels of the video frame are represented an increased bit depth.The described method comprises using processing means for executing the step of offsetting the pixel values of increased bit depth with offsets, the offsets depending on a spatial neighbourhood of the pixel to-be-offset.Such local adaptive offsetting of pixel values de-emphasizes high frequencies in the transform domain artificially emphasized by the bit depth increase.