Cross Color Suppression via Motion Detection in Video Decoders
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Solution Overview
Problem
Conventional television decoders struggle to accurately separate luminance and chrominance information due to signal interference, leading to cross color and cross luminance corruption, especially in applications where demodulation does not effectively suppress these issues.
Innovation Solution
A method involving a well-designed motion detection algorithm is employed to determine the stationarity of image frames, allowing for effective cross color and cross luminance suppression by averaging pixel information across consecutive frames when the image is deemed stationary, thereby reducing interference and improving display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional television decoders are used to extract luminance and chrominance information, then basic decoding function is achieved, but cross color and cross luminance corruption occurs due to signal interference
Solution Approach 1:
The patent applies preliminary action by performing motion detection and determining image stationarity before executing cross color suppression. The system calculates motion magnitude between consecutive frames and pre-determines whether the current frame is stationary, then applies appropriate suppression strategies based on this pre-assessment, thereby improving separation accuracy while avoiding harmful artifacts
Solution Approach 2:
The patent implements dynamics by adaptively adjusting the cross color suppression strategy based on detected motion magnitude. When motion is detected, the system modifies its suppression approach compared to stationary images, allowing optimal performance across varying image content conditions rather than using a fixed suppression method
2Device complexity
If simple television decoder is used, then device complexity is reduced, but inability to discern luminance and chrominance information leads to signal interference
Solution Approach 1:
The patent applies segmentation by dividing the decoding process into distinct functional stages: motion detection stage, stationarity determination stage, and cross color suppression stage. This segmented approach allows each component to specialize in its function while maintaining overall system simplicity, improving discrimination accuracy without requiring a completely complex redesign of the decoder architecture
3Adaptability or versatility
If cross color suppression is performed in baseband domain after demodulation, then flexibility is improved for post-decoding applications, but error occurrence increases due to over-simplified stationary image judgment
Solution Approach 1:
The patent implements feedback by using motion detection results to inform and adjust the cross color suppression process. The system calculates motion magnitude between frames and uses this feedback to determine whether the image is stationary, then applies suppression only when appropriate. This feedback mechanism prevents erroneous suppression in moving images while maintaining effectiveness for stationary content, thereby improving reliability
Data Source
AI summary
A method for processing an image in a video data is provided. The video data has a plurality of frames. The method includes: obtaining a plurality of differences, each difference in the plurality of differences being obtained from two frames that are one frame apart, wherein the each difference in the plurality of differences is between pixel information of one pixel from a plurality of pixels in one of the two frames, and a corresponding pixel in the other frame of the two frames; examining a first criterion with a summation of the plurality of differences; and performing cross color suppressing operation on a current frame of the plurality of frames according to a set of stationary image judgment information comprising the result of the first criterion examination.