Signal Processing Device for Flicker-Free Image Quality Transitions
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Solution Overview
Problem
Existing image display systems face issues with flicker when image quality changes due to variations in source quality, particularly when switching channels or inputs, and struggle to accurately set image quality settings for renormalized images from IPTVs or cable TVs, leading to suboptimal performance and user-perceptible flicker.
Innovation Solution
A signal processing device that calculates source quality using a Deep Neural Network (DNN), updates parameters from a server, and adjusts image quality settings sequentially to reduce flicker, incorporating a quality calculator, image quality setter, and processor to manage resolution, noise level, and compression level adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image quality settings are changed abruptly in response to source quality changes, then image quality processing performance is optimized, but flicker is generated and user experience deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from static image quality settings to dynamic, adaptive settings that automatically adjust based on real-time source quality detection. The system continuously monitors source quality metrics (resolution, bit rate, compression level) and dynamically modifies processing parameters to match the actual source characteristics, enabling optimal performance while avoiding abrupt changes that cause flicker.
Solution Approach 2:
The patent implements parameter changes by modifying multiple processing parameters (sharpness, noise reduction strength, color processing, frame rate) based on detected source quality parameters. The system changes these parameters gradually and adaptively in response to source quality variations, transforming fixed processing settings into flexible, quality-driven adjustments that eliminate flicker while maintaining optimal image quality.
2Productivity
If source quality information is accurately detected and utilized, then real-time image quality optimization is achieved, but system complexity increases
Solution Approach 1:
The patent applies self-service by implementing autonomous source quality detection and automatic processing parameter adjustment without requiring manual user input or external control. The system self-monitors source quality metrics, self-determines optimal processing parameters, and self-adjusts in real-time, reducing the need for complex user interfaces and manual configuration while achieving rapid optimization.
Solution Approach 2:
The patent implements feedback by establishing a closed-loop system where source quality information is continuously detected, processed parameters are adjusted based on this feedback, and the results are monitored. This feedback mechanism enables real-time optimization by using actual source quality data to drive processing decisions, creating an adaptive system that responds automatically to changing conditions.
3Object-affected harmful factors
If sequential image quality adjustment is implemented, then flicker is reduced, but response time to source quality changes increases
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple processing parameter sets corresponding to different source quality levels and preparing transition schedules in advance. When source quality changes are detected, the system has pre-prepared appropriate parameter configurations and can execute smooth transitions between them, reducing both flicker through sequential adjustment and delay through advance preparation of response strategies.
Data Source
AI summary
Disclosed are a signal processing device and an image display apparatus including the same. The signal processing device of an embodiment of the present disclosure includes: a quality calculator configured to calculate a source quality of an image signal received from an external settop box or a network; an image quality setter configured to set an image quality of the image signal based on the calculated source quality; and an image quality processor configured to perform image quality processing on the image signal based on the set image quality, wherein in response to the source quality of the received image signal being changed at a first time point, the image quality setter changes an image quality setting sequentially from a first setting to a second setting; and based on the image quality setting, the image quality processor performs image quality processing. Accordingly, flicker may be reduced when an image quality is changed due to a change in the source quality of the received image signal.