Image Processing Apparatus Motion Map Noise Reduction
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Solution Overview
Problem
Existing noise reduction technologies for moving images struggle to effectively reduce afterimage noise caused by moving objects, leading to trails of noise in regions passed by the objects.
Innovation Solution
An image processing apparatus that generates a first motion map from successive frame images, a moving object passage map by subtracting the first motion map from a past map image, and a second motion map by integrating these with a predetermined value. This apparatus then adjusts noise reduction processing parameters based on the second motion map to reduce afterimage noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If three-dimensional noise reduction processing is performed using frame images for three successive frames, then noise reduction effect is improved, but afterimage noise occurs in regions passed by moving objects
Solution Approach 1:
The patent divides the image processing into multiple stages: generating a motion map from current and past frame images, creating a passage map by subtracting the motion map from a past map image, and then integrating these maps with different weights. This segmentation allows differential processing of moving object regions versus stationary regions, reducing afterimage noise while maintaining noise reduction effectiveness.
Solution Approach 2:
The patent applies different processing parameters to different regions of the image based on the integrated motion map. Specifically, the weight given to the past map image is adjusted based on the motion information: regions with high motion activity receive different weighting than stationary regions, allowing the system to reduce afterimage noise in moving object passages while preserving noise reduction in stationary areas.
2Manufacturing precision
If noise reduction processing is applied to all regions uniformly, then overall noise is reduced, but moving object passage regions retain afterimage artifacts
Solution Approach 1:
The patent creates an integrated motion map that combines current frame motion information with historical passage information from past frames. This integrated map is then used to locally adjust the noise reduction parameters, applying stronger suppression to regions identified as moving object passages while maintaining standard noise reduction elsewhere, thereby eliminating trailing artifacts without compromising overall noise reduction quality.
Solution Approach 2:
The system uses feedback from multiple sources: the motion map from current frame comparison, the passage map from historical data, and the integrated motion map that combines both. This multi-layer feedback mechanism allows the system to continuously refine its understanding of moving object trajectories and adjust noise reduction parameters accordingly, preventing afterimage noise while preserving genuine motion details.
Data Source
AI summary
An image processing apparatus includes a hardware processor configured to function as: a first generation unit that, from a first frame image and a second frame image in a past frame immediately successive to the first frame image, generates a first motion map showing a presence region of a moving object; a second generation unit that generates a moving object passage map showing a moving object passage region, by subtracting the first motion map from a past map image showing a presence region of the moving object included in a past frame image; a third generation unit that generates a second motion map by integrating the first motion map and the moving object passage map multiplied by a first value; and an adjustment unit that, based on the second motion map, adjusts a parameter related to noise reduction processing of the first frame image and the second frame image.