Video Processing Apparatus with Adaptive Low Pass Filter
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Solution Overview
Problem
Conventional video processing apparatuses face issues with unreliable extraction of ancillary information due to noise in video signals, which can damage both the video and ancillary data during filtering processes.
Innovation Solution
A video processing apparatus equipped with a low pass filter and a filter control unit that adjusts the cutoff frequency based on frequency information within the video signal to remove noise while preserving ancillary information, ensuring accurate extraction and display of ancillary data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a filter is applied to remove noise from video signals, then noise is reduced, but video information and ancillary information may be damaged
Solution Approach 1:
The patent implements a variable cutoff frequency filter whose cutoff frequency is dynamically adjusted based on the detected frequency of ancillary information in the video signal. Instead of using a fixed cutoff frequency that may inadvertently remove useful signals, the system continuously adapts the filter parameters to match the actual signal characteristics, thereby maintaining high reliability in noise removal while preserving video and ancillary information integrity.
Solution Approach 2:
The system changes the filter parameter (cutoff frequency) based on the detected ancillary information frequency. By monitoring the video signal and identifying the frequency components corresponding to ancillary information, the system adjusts the cutoff frequency to ensure that the filter removes noise effectively while allowing the ancillary information frequency components to pass through unchanged.
2Device complexity
If a fixed cutoff frequency filter is used, then noise removal is simplified, but ancillary information at varying frequencies cannot be preserved
Solution Approach 1:
The system employs self-service by automatically detecting the frequency of ancillary information within the video signal and using this detected frequency to automatically adjust the cutoff frequency of the filter. This self-adjusting mechanism eliminates the need for manual intervention or complex external control systems, achieving adaptive filtering while maintaining relatively simple device architecture.
Solution Approach 2:
The system implements feedback by continuously monitoring the video signal to detect ancillary information frequency, then using this feedback to adjust the filter's cutoff frequency. This closed-loop control ensures that the filter adapts to varying signal conditions while maintaining optimal performance for noise removal and information preservation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enhances the reliability of ancillary information extraction by effectively filtering out noise, preventing errors in caption data and teletext characters, and maintaining high-quality video processing even in deteriorated or weak signal conditions.
Implementation Method 1
a low pass filter for passing a component below the frequency of the video signal
Data Source
AI summary
A video processing apparatus including a display comprises a filter for receiving a video signal containing video information and ancillary information related to the video information and having a predetermined frequency. The filter passes a component corresponding to the frequency of the video signal. An ancillary information extractor extracts the ancillary information from the video signal passed by the filter. A video processor processes the video signal so that the ancillary information extracted by the ancillary information extractor is displayed on the display. The video processing apparatus is able to enhance the reliability of ancillary information extraction by removing the influence of noise.