Image Processing Method for Moving Object Speed Sense
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Solution Overview
Problem
Ordinary users find it challenging to capture photos of moving objects that convey a sense of speed, as they need to manually control the lens to follow the object, making it difficult to achieve a clear and speed-conveying image.
Innovation Solution
An image processing method that involves capturing two images within the same shooting range at different time points, calculating the motion vector of the object, and applying a blurring process to the background image in the direction opposite to the object's motion to keep the object clear and convey a sense of speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the user manually controls the lens to follow the moving object, then the object can be captured clearly, but the operation complexity increases and requires photography expertise
Solution Approach 1:
The system performs automatic tracking and image processing without requiring user intervention. The processor automatically identifies the moving object, calculates motion vectors, and applies blurring effects to the background, making the system self-sufficient and eliminating the need for manual lens control by the user
Solution Approach 2:
The patent replaces manual mechanical lens control with an automated image processing system. Instead of physically adjusting the lens to follow the object, the system uses computational methods (motion vector calculation and digital blurring) to achieve the same effect, substituting mechanical operation with information processing
2Manufacturing precision
If the lens is controlled to move along with the moving object, then the object remains in focus, but the device complexity increases
Solution Approach 1:
The patent replaces the mechanical lens tracking system with a digital image processing system. Instead of using complex mechanical controls to keep the object in focus, the system captures images at multiple time points and uses computational algorithms to simulate the focus effect through motion vector calculation and selective blurring
Solution Approach 2:
The system creates a virtual copy of the focus effect through image processing. By calculating motion vectors and applying blurring to the background image, the system reproduces the appearance of a sharply focused object without requiring actual optical focus control mechanisms
3Manufacturing precision
If multiple images are captured and processed to convey speed sense, then the image quality improves, but the processing time increases
Solution Approach 1:
The system captures multiple images at different time points in advance during the photography process. These pre-captured images are then processed together to generate the final result, allowing the processing to be done in batches rather than requiring real-time computation during the actual photo capture moment
Data Source
AI summary
An image processing method is provided. A first image is obtained at a first time point, the first image includes a first object image and a first background image, the first object image corresponds to the position of an object at the first time point. A second image is obtained at a second time point, the second image includes a second object image and a second background image, the second object image corresponds to the position of the object at the second time point, and the first and the second images are shot within substantially the same shooting range. A sum motion vector of the object is obtained according to the first and the second object images. The second object image is kept, and a process is applied to each pixel of the second background image in the second image to generate a third image.