Video Processing Removing Blurred Frames via Interpolation
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Solution Overview
Problem
Motion-blurred images in captured videos due to moving objects or device shake during exposure, leading to poor video quality.
Innovation Solution
A video processing method that identifies and removes blurred frames from a video, inserting clear frames through frame interpolation at the removed positions to enhance video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion-blurred images are captured during exposure, then video capturing is performed, but image quality deteriorates with blurred frames appearing
Solution Approach 1:
The patent applies preliminary action by detecting blurred frames before final video output and removing them in advance. The system identifies motion-blurred frames during video processing and removes them before the video is displayed or stored, preventing the blurred content from reaching the final output stage. This proactive removal of defective frames improves overall video quality without requiring re-capture.
2Reliability
If blurred video frames are removed from the video, then video quality improves, but video continuity may be disrupted
Solution Approach 1:
The patent applies copying by creating replacement frames based on adjacent clear frames when blurred frames are removed. Instead of simply deleting blurred frames which would create gaps in video continuity, the system generates copy frames by interpolating or duplicating content from neighboring clear frames, thereby maintaining temporal continuity while eliminating blurred content.
3Stability of the object's composition
If frame interpolation is used to maintain video continuity after removing blurred frames, then video coherence is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by applying frame interpolation only at specific locations where blurred frames were removed, rather than processing the entire video uniformly. The system identifies exactly which frames are blurred and applies replacement operations only at those specific positions, leaving the rest of the video unchanged. This localized approach maintains video coherence at problem areas while minimizing overall processing complexity.
Data Source
AI summary
Disclosed in the embodiments of the present disclosure are a video processing method and apparatus, and an electronic device and a storage medium. The method include: determining a blurred video frame in an initial video; removing the blurred video frame from the initial video, so as to obtain an intermediate video, which dose not comprise the blurred video frame; on the basis of a video frame in the intermediate video that has a timestamp adjacent to a target timestamp, determining a video frame to be inserted, wherein the target timestamp is the timestamp of the blurred video frame; and inserting into a position in the intermediate video that corresponds to the target timestamp, the video frame to be inserted, so as to obtain a target video.