Video Signal Correction Device for Color Blur Reduction
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Solution Overview
Problem
Existing video signal processing technologies fail to effectively address color blur issues, particularly in analogue modulation, where unnatural color blur persists even after correction, especially when luminance component changes are small.
Innovation Solution
A correction device that separates modulated video signals into luminance and color difference signals, emphasizing color difference components only when the luminance component change value exceeds a given threshold, and adjusting these components accordingly to improve color clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If correction is performed to emphasize color difference components in all cases, then color blur is improved, but unnatural color blur stands out when luminance component change value is small
Solution Approach 1:
The correction device applies different correction strengths to color difference components based on the luminance component change value. When the luminance change value is large, strong correction is applied to emphasize color difference components. When the luminance change value is small, weak or no correction is applied, avoiding unnatural color blur. This local differentiation of correction quality resolves the contradiction between improving color blur and avoiding unnatural appearance.
Solution Approach 2:
The correction device dynamically adjusts the correction parameter based on the detected luminance component change value. The correction strength is not fixed but varies in real-time according to the signal characteristics. This dynamic adaptation allows the system to automatically select appropriate correction levels, resolving the contradiction between general color blur improvement and avoiding unnatural effects in specific conditions.
2Productivity
If correction is performed without considering luminance component change value, then color difference components are emphasized uniformly, but color blur correction is inefficient when luminance changes are small
Solution Approach 1:
The correction device changes the correction parameter based on the luminance component change value. By detecting the luminance change value and using it to adjust the correction strength, the system optimizes correction efficiency for different signal conditions. This parameter adaptation ensures that correction resources are not wasted on cases where they are unnecessary, improving overall correction efficiency while maintaining adaptability.
3Object-affected harmful factors
If color difference components are emphasized in all frequency bands, then color blur is reduced, but processing complexity increases
Solution Approach 1:
The correction device applies partial correction only when necessary, based on the luminance component change value. Instead of uniformly processing all frequency bands and all cases, the system performs correction only when the luminance change value exceeds a threshold, or applies reduced correction when the threshold is not met. This partial action approach reduces processing complexity while maintaining effective color blur correction where needed.
Data Source
AI summary
A correction device including: a memory; and a processor coupled to the memory, the processor configured to: receive a modulated video signal; separate the modulated video signal into a color difference signal and a luminance signal; and in cases in which a luminance component change value in a given frequency band in a demodulated luminance signal, demodulated from the luminance signal, is a given threshold or greater, perform correction such that color difference components present in a demodulated color difference signal demodulated from the color difference signal and corresponding to the luminance components are emphasized, compared to cases in which the change value is less than the given threshold.