Adaptive Video Noise Reduction Preserving Resolution
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Solution Overview
Problem
Current noise reduction techniques for video signals often compromise image resolution, leading to imprecise edge transitions and reduced focus, as they fail to adaptively address noise variations across different components of the video signal effectively.
Innovation Solution
A noise reduction system that measures noise in digitized video signals and employs a recursive filter with adaptively adjusted parameters based on noise measurements, operating on both luma and chroma components to provide noise-reduced outputs while maintaining image sharpness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a low pass filter is used to remove noise from video signals, then noise is reduced, but image resolution and sharpness are degraded
Solution Approach 1:
The patent applies different filter characteristics to different spatial locations and video components. Specifically, it processes luma and chroma components with different filter parameters, and applies adaptive filtering that varies across the image based on local noise characteristics and image content, thereby reducing noise while preserving local image quality and sharpness
Solution Approach 2:
The patent employs adaptive filtering where filter parameters are dynamically adjusted based on measured noise levels and image characteristics. The filter adapts its behavior in real-time to balance noise reduction and sharpness preservation, rather than using fixed filter parameters that would compromise image resolution
2Object-affected harmful factors
If filtering is applied to reduce noise, then noise levels decrease, but edge transitions become imprecise and focus is reduced
Solution Approach 1:
The patent changes filter parameters adaptively based on local image characteristics and noise measurements. By adjusting filter strength, cutoff frequencies, and other parameters according to the specific region being processed, the system maintains precise edge transitions while still achieving effective noise reduction in appropriate areas
Data Source
AI summary
A system to reduce noise includes a noise measurement device that provides a measure of noise associated with a digital input video signal. A noise reduction filter provides a noise-reduced digital output video signal corresponding to the luma and chroma of the digital input video signal. The noise reduction filter has a parameter that varies on a pixel basis for the component of the digital input video signal as a function of the measure of noise. The range and sensitivity of the noise reduction can be user programmable.