Noise Removal in Image Processing via Frame Grouping
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Solution Overview
Problem
Conventional image processing technologies fail to accurately remove noise from frame groups where similar frames appear successively due to noise components, leading to incorrect evaluation and ineffective noise removal.
Innovation Solution
An image processing apparatus with a judgment unit to identify changing points at regular intervals, dividing the frame group into units based on these intervals, and a removal unit that averages frames within each grouping to reduce noise redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the frame group is divided into units based on calculating difference values between adjacent frames and using histograms, then the number of frames for averaging can be determined, but the method fails to correctly evaluate successive similar frames when recording frame rate exceeds capture frame rate
Solution Approach 1:
The frame group is divided into multiple groupings based on changing points detected in the timeline. Each grouping contains successive similar frames that should be processed together for noise removal, ensuring accurate evaluation of frames recorded at higher frame rates than capture rate
Solution Approach 2:
The judgment unit continuously monitors the timeline for changing points by analyzing difference values between adjacent frames. This feedback mechanism dynamically identifies where similar frames end and new content begins, enabling accurate grouping regardless of recording conditions
2Productivity
If similar frames appearing successively are not correctly identified, then noise removal cannot be effectively performed, but conventional methods cannot distinguish between noise differences and actual frame changes
Solution Approach 1:
The system changes the parameter for frame comparison from absolute difference values to relative timing patterns. By analyzing whether changing points occur at regular intervals rather than absolute frame differences, the system can distinguish between noise-induced variations and actual scene changes, improving both efficiency and precision
Data Source
AI summary
An image processing apparatus for removing noise from a frame group on a timeline is provided. This image processing apparatus includes a judgment unit, a division unit, and a removal unit. The judgment unit judges whether changing points where there is a large change between adjacent frames included in the frame group appear at roughly the same interval along the timeline. The division unit, in a case where it is judged that the changing points appear at roughly the same interval, divides the frame group into a plurality of groupings along the timeline in accordance with the interval. The removal unit removes noise from the frame group in units of the groupings.