Video Source Resolution Detection for Dynamic Picture Quality
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Solution Overview
Problem
Post-processing picture quality enhancement algorithms in video systems lack the ability to effectively adapt to varying source resolutions of video content, leading to suboptimal performance due to the absence of source scale factor information, and are often affected by video coding artifacts and superimposed content.
Innovation Solution
A system and method for active video content source resolution detection, which measures image-by-image source scale factors and provides this information to picture quality processing modules, allowing dynamic adaptation of processing parameters to enhance picture quality while minimizing the impact of video coding artifacts and superimposed content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed parameter configurations are used for picture quality enhancement algorithms, then device complexity is reduced, but adaptability to varying source resolutions deteriorates
Solution Approach 1:
The patent implements dynamic adaptation of picture quality enhancement algorithms by detecting the source resolution of video content and adjusting processing parameters accordingly. The system transitions from fixed parameter configurations to dynamic parameter selection based on detected source scale factors, allowing optimal processing for different resolution levels including native and scaled-up images.
Solution Approach 2:
The patent changes processing parameters based on detected source resolution characteristics. By determining source scale factors and using this information to select appropriate filter parameter configurations, the system adapts enhancement algorithms to match the specific characteristics of each video source, improving performance across different resolution levels.
2Adaptability or versatility
If source resolution detection is performed to enable adaptive processing, then adaptability to varying source resolutions is improved, but measurement precision requirements and detection complexity increase
Solution Approach 1:
The patent replaces complex mechanical resolution detection methods with signal processing techniques. By analyzing video signal characteristics such as gradient magnitudes and frequency content, the system determines source resolution through computational methods rather than physical measurement, simplifying the detection process while maintaining accuracy.
Solution Approach 2:
The system performs self-characterization by automatically detecting its own processing requirements based on the input video content. The source resolution detection mechanism enables the processing system to self-adjust without external intervention, automatically selecting appropriate parameters based on detected source characteristics.
3Reliability
If picture quality enhancement algorithms process all video content uniformly, then device complexity is minimized, but picture quality enhancement performance deteriorates due to inability to adapt to different source resolutions
Solution Approach 1:
The patent implements dynamic adaptation of picture quality enhancement algorithms by detecting the source resolution of video content and adjusting processing parameters accordingly. The system transitions from fixed parameter configurations to dynamic parameter selection based on detected source scale factors, allowing optimal processing for different resolution levels including native and scaled-up images.
Solution Approach 2:
The patent changes processing parameters based on detected source resolution characteristics. By determining source scale factors and using this information to select appropriate filter parameter configurations, the system adapts enhancement algorithms to match the specific characteristics of each video source, improving performance across different resolution levels.
Data Source
AI summary
Embodiments for video content source resolution detection are provided. Embodiments enable systems and methods that measure video content source resolution and that provide image-by-image source scale factor measurements to picture quality (PQ) processing modules. With the source scale factor information, PQ processing modules can be adapted dynamically (on a picture-by-picture basis) according to the source scale factor information for better picture quality enhancement. In addition, embodiments provide source resolution detection that is minimally affected by video coding artifacts and superimposed content (e.g., graphics).


