Video Signal Processing Segmentation Noise Reduction
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Solution Overview
Problem
Existing video processing apparatuses face challenges in reducing noise without compromising the fineness of images, as conventional methods like coring processes often eliminate necessary image information along with noise, leading to decreased image quality.
Innovation Solution
A video processing apparatus and method that divides video signals into low and high frequency components, using a high-pass filter and signal classification units to selectively eliminate noise within a specific magnitude range from the high frequency component, while preserving other components to enhance image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a high threshold level is used in the coring unit to prevent ringing, then ringing phenomenon is reduced, but image fineness decreases due to loss of image information
Solution Approach 1:
The patent segments the video signal into low frequency component and high frequency component using a high-pass filter and mixer. By separating these components, the system can apply different processing to each: the low frequency component is processed to prevent ringing, while the high frequency component is preserved to maintain image fineness. This segmentation allows simultaneous achievement of both goals without the trade-off present in conventional single-stage coring.
Solution Approach 2:
The patent applies different processing qualities to different frequency components. The low frequency component undergoes coring processing with a higher threshold to eliminate ringing, while the high frequency component is preserved with minimal processing to maintain image sharpness and detail. This local differentiation of processing quality resolves the contradiction by optimizing each frequency band independently.
2Object-affected harmful factors
If conventional coring process is applied to eliminate noise, then noise reduction is achieved, but image fineness decreases
Solution Approach 1:
The patent divides the video signal into low frequency and high frequency components, allowing selective noise processing. The low frequency component contains noise that is eliminated through coring, while the high frequency component contains image fineness information that is preserved. This frequency-based segmentation enables noise reduction without sacrificing image sharpness.
Solution Approach 2:
The patent changes the threshold parameter differently for different frequency components. For the low frequency component, a higher threshold is used to effectively eliminate noise. For the high frequency component, the threshold is set lower or processing is minimized to preserve image fineness. This parameter differentiation resolves the contradiction between noise reduction and image quality.
Data Source
AI summary
A video signal processing apparatus and video processing method are provided, which can reduce an influence of noise and enhance fineness of the image. A signal division unit divides a video signal into a low frequency component and a high frequency component of the video signal. A signal eliminating unit eliminates a component within a magnitude range of noise from the high frequency component of the video signal output from the signal division unit. A signal combining unit combines the low frequency component of the video signal output from the signal division unit and the high frequency component of the video signal from which the component within the magnitude range of noise is eliminated.