Image Quality Apparatus High Frequency Component Extraction
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Solution Overview
Problem
Liquid crystal display apparatuses experience blurred moving images due to retinal after-images, and existing solutions like the pseudo-impulse liquid crystal panel driving system reduce luminance to address this issue, which is costly to modify.
Innovation Solution
An image quality improving apparatus that extracts high frequency components from a video signal of one frame and adds them to a subsequent frame, enhancing the sense of halation without requiring modifications to the panel's design or reducing luminance by eliminating dark periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a pseudo-impulse liquid crystal panel driving system is used to reduce retinal after-image blur, then moving image clarity is improved, but luminance is reduced due to black display periods
Solution Approach 1:
The invention extracts only the high frequency components from the current frame image and separates them from the low frequency components. This allows selective enhancement of sharpness edges without requiring complete black display periods, thus maintaining luminance while reducing retinal after-image blur.
Solution Approach 2:
The invention performs preliminary processing by extracting high frequency components in advance before display, and then adds them to subsequent frames. This preliminary action reduces the need for black display periods while achieving the same blur reduction effect.
2Illumination intensity
If the numerical aperture of the panel is increased to maintain luminance, then luminance is improved, but device complexity and cost increase
Solution Approach 1:
The invention replaces the mechanical/optical solution of increasing numerical aperture with a signal processing approach. By extracting and adding high frequency components digitally, the system achieves the same visual effect without modifying the physical panel structure.
3Manufacturing precision
If high frequency components are added to subsequent frames, then moving image sharpness is improved, but processing complexity increases
Solution Approach 1:
The invention segments the image frequency spectrum into high frequency components (edges, sharpness) and low frequency components (overall image content). This segmentation allows selective processing of only the high frequency components, reducing the computational burden compared to processing entire frames.
Data Source
AI summary
A method of improving an image quality of a video signal, which is supplied on a frame-by-frame basis, includes extracting low frequency components from a video signal of an n-th frame, where n is a natural number excluding zero, subtracting the extracted low frequency components from a video signal of an (n+m)th frame to produce high frequency components, where no is a natural number excluding zero, and adding the produced high frequency components to the video signal of the (n+m)th frame. The extracted low frequency components include a horizontal component and a vertical component.