Image Synthesizing Device Motion Blur Reduction
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Solution Overview
Problem
Existing image synthesizing techniques fail to effectively eliminate the afterimage of moving objects when synthesizing images, especially in scenarios with varying light conditions and camera movements, leading to motion blur and brightness inconsistencies.
Innovation Solution
An image synthesizing device and method that uses a reference image selected based on minimal object motion, combined with noise reduction and α-blending processes, to generate a synthesized image with reduced motion blur and enhanced contrast, employing gain control and exposure adjustments to match image brightness across multiple frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If pixels of continuously captured images are added and synthesized to improve brightness in low-light environments, then image brightness is improved, but afterimages of moving objects remain and motion blur occurs
Solution Approach 1:
The patent changes the parameter of image synthesis by introducing a reference image selection mechanism based on object motion detection. Instead of uniformly synthesizing all captured images, the system identifies a reference image with minimal object motion and uses it as the basis for synthesis, thereby reducing afterimages while maintaining brightness improvement.
Solution Approach 2:
The patent applies preliminary action by performing object motion detection and reference image selection before the actual image synthesis process. This preliminary step ensures that the reference image is pre-selected to have minimal motion, preventing afterimage formation in the subsequent synthesis operation.
2Manufacturing precision
If image synthesis is performed on continuously captured images to reduce noise, then noise reduction is achieved, but brightness inconsistencies and motion blur occur due to camera movement and varying exposure conditions
Solution Approach 1:
The patent changes the synthesis parameter by selectively combining images based on reference image selection. The system adjusts the synthesis process to use a reference image with stable exposure conditions, thereby maintaining brightness consistency while achieving noise reduction through selective image combination.
Solution Approach 2:
The patent implements feedback by using object motion detection results to guide the image synthesis process. The detection of object motion provides feedback that determines which image should be selected as the reference, creating a closed-loop system that adapts to varying exposure conditions and camera movements.
3Manufacturing precision
If a reference image is selected based on minimal object motion and α-blending is applied to reduce afterimages, then image clarity is improved, but processing complexity increases
Solution Approach 1:
The patent reduces processing complexity by performing reference image selection as a preliminary action before α-blending. By pre-identifying the reference image based on minimal object motion, the system simplifies the subsequent α-blending process, as it only needs to blend around detected moving objects rather than processing the entire image complexly.
Solution Approach 2:
The patent applies local quality by using α-blending selectively only in regions where moving objects are detected, rather than applying complex processing to the entire image. This localized approach maintains image clarity improvement while reducing overall processing complexity.
Data Source
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AI summary
There is provided an image synthesizing device. The device includes: an image capturing unit configured to capture a plurality of images that are temporally continuous; an image generator configured to generate a single synthesized image by adding pixels of the plurality of images; a first difference obtaining unit configured to obtain differences between the plurality of images on pixel-by-pixel basis for each of the plurality images; and a blending unit configured to employ the differences between the plurality of images as transparency information and blend the transparency information into the synthesized image.