Adaptive Digital Video Noise Reduction System
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Solution Overview
Problem
Digital video signals are prone to noise during processing and transmission, which can degrade video quality and hinder efficient compression, especially due to issues like impulse noise and lossy compression artifacts.
Innovation Solution
A system and method for noise reduction in digital video that includes preprocessing and postprocessing stages, utilizing noise reduction blocks within video processing systems to remove impulse noise and adaptively adjust processing based on memory and bandwidth usage, employing filters and algorithms to improve compression efficiency and visual quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If noise reduction is applied before compression, then compression efficiency is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent applies noise reduction as a preliminary step before compression processing. By removing impulse noise and reducing noise in the video signal before compression, the compression algorithm can work more efficiently on cleaner data, improving compression efficiency while the pre-processing nature allows for optimized processing timing
2Manufacturing precision
If noise reduction is applied after decompression, then visual quality is improved, but processing delay increases
Solution Approach 1:
The patent implements noise reduction in a post-processing stage after decompression. This allows the noise reduction to occur after the critical decompression operation, improving visual quality through noise removal while minimizing additional processing delay by performing the operation in the appropriate temporal sequence
3Quantity of substance
If aggressive compression is used, then data size is reduced, but noise artifacts increase
Solution Approach 1:
The patent applies noise reduction techniques as a counter-measure to the harmful noise artifacts generated by aggressive compression. By detecting and removing impulse noise and compression artifacts through various filtering and processing techniques, the system counteracts the detrimental effects of aggressive compression while maintaining reduced data size benefits
Data Source
AI summary
Aspects of noise reduction in digital video may comprise monitoring at least one of memory usage and memory bandwidth usage of memory utilized to process video data. The aspect may further comprise adaptively adjusting filtering of the video data according to the monitoring. At least one of impulse filtering, temporal filtering, and spatial filtering may be utilized for the filtering of the video data. At least one of the impulse filtering, the temporal filtering, and the spatial filtering may be adaptively adjusted based on the monitoring. Furthermore, at least one of motion information and edge information may be estimated from the video data for utilizing in at least one of the impulse filtering, the temporal filtering, and the spatial filtering. At least one of the estimated motion information and the estimated edge information may be adaptively adjusted based on the monitoring.