False-Color Suppression Using Interpolation Type Recording
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Solution Overview
Problem
Conventional false-color suppression methods in video processing require significant computational resources and memory space due to the need for extensive video detections to determine image stillness for effective cross-color and cross-luminance separation.
Innovation Solution
A method that corrects pixel values in video frames by recording and utilizing interpolation types during de-interlacing, allowing for reduced computational requirements and memory usage by determining false-color suppression operations based on interpolation types alone, without additional pixel detections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional video detection methods are used to determine image stillness for false-color suppression, then false-color suppression effectiveness is improved, but computational requirement increases significantly
Solution Approach 1:
The patent extracts only the essential information needed for false-color suppression by using interpolation type identification instead of comprehensive video detection. By taking out only the critical detection element (interpolation type) rather than performing full video analysis, the system maintains suppression effectiveness while dramatically reducing computational load.
Solution Approach 2:
Instead of detecting image stillness through complex video analysis to determine when to apply false-color suppression, the patent inverts the approach by using the interpolation type (which indicates motion) to directly control suppression operations. This inversion eliminates the need for separate stillness detection while maintaining or improving suppression accuracy.
2Reliability
If conventional video detection methods are used to determine image stillness for false-color suppression, then false-color suppression effectiveness is improved, but memory space requirement increases
Solution Approach 1:
The patent extracts only the minimal necessary data (interpolation type identifiers) for false-color suppression decisions, eliminating the need to store extensive video frames or detection results in memory. This extraction approach maintains suppression effectiveness while minimizing memory space requirements.
3Measurement precision
If extensive video detection is performed to determine image stillness, then accuracy of false-color suppression is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary action by identifying and recording the interpolation type during the de-interlacing process itself, before false-color suppression is needed. This preliminary identification of motion status eliminates the need for time-consuming subsequent video detections, maintaining accuracy while reducing processing time.
Solution Approach 2:
The patent extracts only the critical motion information (interpolation type) needed for accurate false-color suppression, eliminating unnecessary detection steps. This extraction maintains measurement precision by focusing on the most relevant indicator while significantly reducing the time required for analysis.
Data Source
AI summary
A false-color suppression method corrects a pixel value of a pixel in a target location of a target frame while de-interlacing video data. The video data includes consecutive first, second and third fields, and the target frame corresponds to the third field. The method records an interpolation type of a first pixel with respect to the target location of a previous frame corresponding to the second field, and corrects the pixel value of the pixel in the target location of the target frame using a pixel value of a reference pixel if the interpolation type of the first pixel is an inter-field interpolation.