Reconfigurable Video Noise Reducer for AWGN and Compression Artifacts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video noise reduction techniques are incomplete, failing to effectively address additive white Gaussian noise (AWGN) and compression artifacts in video signals, particularly on larger displays where noise is more discernible.
Innovation Solution
A reconfigurable and self-calibrating video noise reducer system that operates in parallel or cascade configurations, utilizing spatial and temporal noise reduction modules, noise injectors, and measurement modules to adaptively reduce noise based on noise levels, preserving image details and reducing artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If existing video noise reduction techniques are applied, then some noise reduction is achieved, but the techniques are incomplete and fail to effectively address AWGN and compression artifacts
Solution Approach 1:
The noise reduction system is divided into separate functional modules: a spatial noise reduction module for reducing noise in spatial domain, a temporal noise reduction module for reducing noise in temporal domain, and a noise detector module. Each module targets specific types of noise (AWGN and compression artifacts) with specialized processing, allowing comprehensive noise reduction without requiring a single complex technique to handle all noise types simultaneously.
2Illumination intensity
If larger displays are used, then image quality is improved, but noise becomes more readily discernible to viewers
Solution Approach 1:
The noise reduction system applies different processing strategies to different regions of the video signal based on local characteristics. The spatial noise reduction module processes individual pixels and neighborhoods, while the temporal module processes sequences of frames. This localized adaptive processing ensures that noise reduction is applied where needed without degrading overall image quality on large displays.
3Productivity
If aggressive data compression is applied, then data transmission efficiency is improved, but compression artifacts and noise are introduced
Solution Approach 1:
The noise detection module specifically identifies compression artifacts as a form of noise, and the spatial and temporal noise reduction modules are designed to reduce these artifacts along with other noise types. By treating compression artifacts as noise to be reduced, the system converts the harmful effect of aggressive compression into a manageable problem that can be addressed through standardized noise reduction processing, thereby recovering image quality without sacrificing compression efficiency.
Data Source
AI summary
A video noise reducer reduces the noise artifacts in a video signal. The video noise reducer is reconfigurable to provide spatial noise reduction and temporal noise reduction in either a parallel or cascade architecture. The video noise reducer is self-calibrating by providing estimation modules that estimate the amount of noise in the video signal and a noise injector that confirms the measurement against a known quantity of noise. The video noise reducer is adaptive to solutions in hardware or a combination of hardware and firmware. The video noise reducer is also optimized for efficient memory usage in interlaced video signal processing applications.