Video Processor Analog Noise Detection and Filtering
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Solution Overview
Problem
Conventional methods for detecting and reducing digital noise in video signals often result in visually unpleasing artifacts due to the presence of analog noise, particularly the 'halo' effect caused by filtering mosquito noise near edges.
Innovation Solution
A system and method that utilize a processor to determine a flatness value within a video picture, adjusting mosquito noise filtering based on the presence of analog noise, by dynamically modifying a predetermined region and considering horizontal and vertical variance values to differentiate between analog and digital noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mosquito noise filtering is applied to digital noise reduction, then digital noise is reduced, but halo artifacts are produced near edges due to analog noise
Solution Approach 1:
The patent implements dynamic adjustment of the noise filtering model parameters based on detected analog noise characteristics. The system transitions from a static filtering approach to a dynamic one where the filtering strength and methodology adapt in real-time according to the presence and intensity of analog noise, thereby preventing halo artifacts while maintaining digital noise reduction effectiveness
Solution Approach 2:
The patent applies different filtering strategies to different regions of the video signal based on local noise characteristics. By analyzing edge regions separately from flat regions and applying appropriate filtering only where digital noise is present without analog noise contamination, the system eliminates halo artifacts while preserving edge quality
2Measurement precision
If conventional digital noise detection is performed, then digital noise can be identified, but analog noise causes false detection and reduces accuracy
Solution Approach 1:
The patent segments the noise detection process into distinct stages: first detecting analog noise characteristics, then using this information to guide digital noise detection. This segmentation allows the system to differentiate between analog and digital noise components, reducing false detections and improving overall detection accuracy
Solution Approach 2:
The patent implements a feedback mechanism where the results of initial noise analysis are used to adjust subsequent detection parameters. The system continuously refines its detection algorithm based on the detected noise composition, using feedback from analog noise detection to improve digital noise detection accuracy and minimize false positives
Data Source
AI summary
A method and system are provided in which a processor, such as a video processor, may determine a flatness value for a current video picture and may adjust a mosquito noise filtering of a subsequent video picture based on the determined flatness value. The flatness value may be determined within a predetermined region of the current video picture, which may be dynamically modified by the processor. The flatness value may be associated with the presence of analog noise in the current video picture, and may be determined based on horizontal and vertical variance values determined for one or more portions of the current video picture. The processor may adjust a mosquito noise strength value of the current video picture based on the determined flatness value and may adjust the mosquito noise filtering of the subsequent video picture based on the adjusted mosquito noise strength value of the current video picture.