False-Color Suppression Using Motion Detection and Feature Analysis
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Solution Overview
Problem
Incomplete separation of luminance and chrominance signals in television signals leads to cross-color and cross-luminance effects, resulting in false-color artifacts that degrade image quality.
Innovation Solution
A false-color suppression method that detects motion and specific image features to determine if a false-color suppression operation is necessary, using a motion detector, image feature detector, and calibration unit to correct pixel values in the output frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional false-color suppression methods are used, then false-color artifacts are suppressed in static images, but false-color artifacts remain in moving images causing image quality degradation
Solution Approach 1:
The patent applies dynamics by introducing motion detection capability to the false-color suppression system. The method determines whether a target position has motion by comparing motion values between current and reference frames, and adaptively adjusts the false-color suppression operation accordingly. This allows the system to dynamically respond to moving images while maintaining effectiveness for static regions.
Solution Approach 2:
The patent changes the parameter of motion state by calculating motion values and comparing them against thresholds. Based on the motion parameter, the system determines whether to perform false-color suppression operations. This parameter-based approach enables the system to differentiate between static and moving regions, applying suppression only where appropriate.
2Reliability
If false-color suppression operations are performed on all positions, then false-color artifacts are suppressed, but processing complexity and computational load increase
Solution Approach 1:
The patent applies local quality by performing false-color suppression operations selectively at specific target positions rather than uniformly across the entire image. The system determines whether each position requires suppression based on local motion characteristics and image features, applying the operation only where necessary. This localized approach reduces overall processing complexity while maintaining suppression effectiveness.
Solution Approach 2:
The patent implements partial action by performing false-color suppression only on positions that meet specific motion and feature criteria, rather than applying the operation excessively to all positions. This selective application reduces computational load while maintaining adequate suppression performance for regions that actually require it.
3Reliability
If motion detection is performed to identify moving positions, then false-color suppression can be avoided in moving regions, but additional processing steps are required
Solution Approach 1:
The patent applies preliminary action by performing motion detection and image feature analysis before executing false-color suppression operations. The system calculates motion values, determines motion states, and identifies positions requiring suppression in advance. This preliminary classification enables the system to avoid unnecessary suppression operations on moving regions while preparing the necessary information for targeted suppression on static regions.
Data Source
AI summary
A false-color suppression method for correcting a pixel value of a target position of an output frame corresponding to a target field is disclosed. The false-color suppression method includes determining whether the target position has motion; determining whether image corresponding to the target position meets a predetermined condition; and if the target position is determined to have motion and the image corresponding to the target position meets the predetermined condition, performing at least one false-color suppression operation to correct the pixel value of the target position of the output frame.