Adaptive Video Post-Processor Filtering Strength Adjustment
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Solution Overview
Problem
Current video post-processing methods are insufficient in adaptively improving visual quality, as they do not effectively address visual artifacts caused by video coding and compression across varying conditions such as screen size, resolution, viewing distance, and ambient light, leading to suboptimal filtering strengths.
Innovation Solution
A communication system that includes a video decoding system with a post-processor that adjusts filtering strength based on detected condition parameters like screen size, resolution, viewing distance, and ambient light, using adaptive filter threshold values to optimize video quality by dynamically adjusting the filtering strength in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If fixed filtering strength is used for post-processing, then device complexity is reduced, but visual quality improvement is insufficient
Solution Approach 1:
The patent applies dynamics by transitioning from fixed filtering strength to dynamic adaptive filtering strength that automatically adjusts based on detected viewing conditions (screen size, resolution, viewing distance, ambient light). The system continuously adapts the filter threshold value to match current viewing conditions, resolving the contradiction between simplicity and visual quality improvement.
Solution Approach 2:
The patent changes the parameter of filtering strength from a fixed value to a dynamically adjustable parameter based on viewing conditions. By detecting parameters such as screen size, resolution, viewing distance, and ambient light level, the system modifies the filter threshold value to optimize visual quality for each specific viewing scenario.
2Manufacturing precision
If adaptive filtering based on multiple condition parameters is implemented, then visual quality is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex adaptive filtering problem into manageable components by detecting individual viewing condition parameters (screen size, resolution, viewing distance, ambient light) separately and then combining their effects to determine the overall filter threshold value. This segmentation makes the complex system more implementable and maintainable.
Solution Approach 2:
The system implements self-service by automatically detecting viewing conditions and adjusting filtering strength without requiring manual user input or complex external control. The post-processor autonomously adapts to viewing conditions, reducing the burden on users and simplifying the user interface while maintaining high visual quality.
3Manufacturing precision
If filtering strength is increased to remove visual artifacts, then visual quality improves, but processing time and resource usage increase
Solution Approach 1:
The patent dynamically changes the filtering parameter (threshold value) based on viewing conditions rather than applying maximum filtering strength universally. By adapting the filter threshold to match actual viewing scenarios, the system achieves optimal visual quality improvement while minimizing unnecessary processing overhead and maintaining video processing speed.
Data Source
AI summary
A system may include a receiver, a decoder, a post-processor, and a controller. The receiver may receive encoded video data. The decoder may decode the encoded video data. The post-processor may perform post-processing on frames of decoded video sequence from the decoder. The controller may adjust post-processing of a current frame, based upon at least one condition parameters detected at the system.