Adaptive Temporal Emphasis for LCD Motion Blur Reduction
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Solution Overview
Problem
Conventional techniques for reducing motion picture blurring and power consumption in liquid crystal display systems are insufficient when combined, as they do not effectively address the issue of motion picture blurring.
Innovation Solution
An image processing apparatus and method that includes a brightness detection unit, a delay unit, an interpolation image signal generation unit, and a temporal emphasis unit to generate and emphasize high temporal frequency components of image signals, with a memory that writes and reads image signals at a higher frame frequency, adjusting amplitudes and gain coefficients based on detected brightness to reduce blurring and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If temporal emphasis and frame frequency doubling are applied, then motion picture blurring is reduced, but power consumption increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the temporal emphasis strength based on detected image brightness. When brightness is high, stronger temporal emphasis is applied to reduce motion picture blurring; when brightness is low, temporal emphasis is reduced or stopped, thereby reducing power consumption. This adaptive parameter adjustment resolves the contradiction between image quality and power consumption.
Solution Approach 2:
The patent implements dynamics by making the temporal emphasis process adaptive rather than static. The temporal emphasis unit dynamically adjusts its operation based on real-time brightness detection, enabling the system to optimize between motion picture blurring reduction and power consumption according to actual display conditions.
2Reliability
If temporal emphasis is applied to reduce motion picture blurring, then image quality improves, but processing complexity increases
Solution Approach 1:
The patent applies local quality by selectively applying temporal emphasis only to specific image regions and frames based on brightness detection. Rather than uniformly processing all images, the system identifies regions where temporal emphasis is most beneficial (high brightness areas) and applies processing selectively, thereby improving image quality while controlling processing complexity.
Solution Approach 2:
The patent implements partial action by applying temporal emphasis selectively rather than universally. The system determines the appropriate level of temporal emphasis based on brightness conditions, applying stronger emphasis only when necessary (high brightness) and reducing or eliminating it when not needed (low brightness), thus managing processing complexity while maintaining image quality.
Data Source
AI summary
A brightness detection unit detects brightness. An interpolation image signal generation unit generates interpolation image signal which are to be interpolated between each two adjacent frames of an input image signal. A temporal emphasis unit emphasizes high temporal frequency components of the input image signal and interpolation image signal. A time-series conversion memory converts the frame frequency of the image signal with the high temporal frequency components emphasized. A temporal emphasis unit adjusts amplitudes of a pair of inputted image signals according to the image brightness and determines a gain coefficient based on the pair of image signals with the amplitudes adjusted, the gain coefficient indicating the degree to which the high temporal frequency components are to be emphasized.