Video Processing Luma Chroma Separation Encoding
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Solution Overview
Problem
Existing video compression techniques degrade image quality and introduce visual artifacts, failing to meet viewer quality expectations and being unsuitable for archival storage.
Innovation Solution
The system processes uncompressed video data by separately determining the luma component of a pixel from its chrominance components, where the chrominance components of a pixel are based on another already encoded pixel, and the luma component is carried over from the uncompressed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video compression is applied to reduce size and bandwidth, then storage efficiency and transmission bandwidth are improved, but image quality degrades and visual artifacts are introduced
Solution Approach 1:
The patent divides the video encoding process into separate processing of luma and chroma components. The luma component is encoded using conventional methods while the chroma component uses prediction from already-encoded pixels. This segmentation allows different encoding strategies for different components, reducing overall data size while preserving perceived image quality through selective compression.
Solution Approach 2:
The patent performs preliminary encoding of reference pixels before encoding the target pixel. By pre-encoding neighboring pixels and storing them as reference data, the system can then predict and encode the current pixel's chroma components more efficiently. This preliminary action reduces the amount of data needed for the current pixel while maintaining quality.
2Productivity
If conventional video encoding is used, then processing speed is maintained, but visual artifacts are introduced and quality expectations are not met
Solution Approach 1:
The patent applies different encoding quality to different components of the video data. The luma component receives full encoding attention for quality preservation, while the chroma component uses prediction-based encoding that is computationally more efficient. This local quality differentiation maintains overall video quality perception while improving processing speed.
Solution Approach 2:
The patent uses prediction from already-encoded pixels to generate chroma components for current pixels. By copying and adapting reference pixel data rather than encoding everything from scratch, the system reduces computational complexity and processing time while maintaining quality through intelligent prediction.
3Loss of energy
If compression is applied to reduce bandwidth for transmission, then network efficiency is improved, but image quality and archival suitability deteriorate
Solution Approach 1:
The patent changes the encoding parameters and methods for different video components. By using prediction-based encoding for chroma components and selective encoding for luma components, the system achieves better compression ratios with less quality loss. This parameter optimization makes the compressed video suitable for both transmission and archival purposes.
Data Source
AI summary
Systems, methods, and apparatuses are described for processing video. Encoded video data may be determined from uncompressed video data. A chrominance component for a portion of the encoded video data may be determined that references another portion of the encoded video data. A luma component of the portion of the encoded video data may be determined to correspond with the luma component of the corresponding portion of the uncompressed video data.