Motion-Adaptive Video Noise Filtering
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Solution Overview
Problem
Noise interference in video signals leads to deteriorated image quality due to low signal-to-noise ratios during transmission, which existing methods fail to adequately address by blurring high motion-level pixels in frames with dramatic color changes.
Innovation Solution
A post-processing method that adjusts pixel color values in video frames by determining motion-level values and applying specific filtering operations, including inter-field and intra-field interpolation, to filter out noise while preserving image quality, using a motion-adaptive approach that distinguishes between still, motion, and intermediate states of pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If noise filtering is applied to video signals, then image quality is improved, but pixels with high motion levels become blurred
Solution Approach 1:
The patent applies different filtering operations to different regions of the video signal based on motion level detection. Still pixels undergo strong noise filtering while motion pixels undergo weak filtering or no filtering, preserving local pixel clarity in motion regions while improving overall image quality through selective noise reduction
Solution Approach 2:
The patent dynamically adjusts the filtering strength based on the motion level of each pixel. The filtering operation is not static but adapts to the motion characteristics of each pixel, using motion detection to determine the appropriate filtering intensity, thereby preventing blur in high-motion regions while effectively reducing noise in still regions
2Object-affected harmful factors
If strong noise filtering is applied, then noise is reduced, but image detail and sharpness are lost
Solution Approach 1:
The patent applies different filtering operations to different regions of the video signal based on motion level detection. Still pixels undergo strong noise filtering while motion pixels undergo weak filtering or no filtering, preserving local pixel clarity in motion regions while improving overall image quality through selective noise reduction
Solution Approach 2:
The patent changes the filtering parameter (filtering strength) based on the motion level of each pixel. By adjusting the filtering operation from strong to weak or none depending on motion characteristics, the patent reduces noise in still regions while preserving image details and sharpness in motion regions
Data Source
AI summary
A method for adjusting color values of a video signal. The video signal includes a first frame and a second frame prior to the first frame. The method includes steps of: determining a motion-level value of a first pixel in the first frame according to color values of the first pixel and a second pixel in the second frame; performing a first filtering operation to obtain an adjusted color value of the first pixel if the motion-level value is smaller than a first threshold; performing a second filtering operation to obtain the adjusted color value of the first pixel if the motion-level value is greater than a first threshold; and performing a third filtering operation to obtain the adjusted color value of the first pixel if the motion-level value lies between the first threshold and the second threshold.