Motion Blur Image Generation Resolution Scaling
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Solution Overview
Problem
Existing methods for generating motion blur in video processing require significant memory space and long access times due to the need to store multiple video images with high resolution, which is inefficient for simulating the effect of a mechanical shutter in digital images.
Innovation Solution
A method that reduces the memory space and access time by associating a weighting factor with each video image, where the resolution of the image is proportional to its weighting factor, with lower resolution images having lower weighting factors, allowing for softer transitions between frames and reduced storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple video images are stored with high resolution to generate motion blur, then the quality of motion blur effect is improved, but the memory space requirement increases
Solution Approach 1:
The patent applies local quality by assigning different resolutions to different video images based on their temporal distance from the reference time. Images closer to the reference time maintain high resolution, while images further away use lower resolution. This selective quality assignment maintains the visual quality of motion blur where it matters most while reducing overall memory consumption.
Solution Approach 2:
The patent changes the resolution parameter of video images based on their weighting factor and temporal distance from the reference time. By dynamically adjusting the resolution parameter according to the importance of each image in the motion blur calculation, the system achieves efficient memory usage while preserving the essential visual quality of the motion blur effect.
2Manufacturing precision
If multiple video images are stored with high resolution to generate motion blur, then the quality of motion blur effect is improved, but the memory access time increases
Solution Approach 1:
The patent reduces the resolution of video images that are temporally farther from the reference time, which directly decreases the amount of data that needs to be accessed and processed. This local quality adjustment reduces memory access time for retrieving these less critical images while maintaining sufficient quality for the motion blur effect.
Solution Approach 2:
The patent applies partial action by storing and processing only the necessary amount of image data at full resolution. Instead of uniformly maintaining high resolution for all images, the system processes images at varying resolutions based on their contribution to the final motion blur effect, thereby reducing overall memory access time while maintaining effect quality.
3Manufacturing precision
If uniform high resolution is used for all video images, then the image quality is maintained, but the processing time increases
Solution Approach 1:
The patent implements local quality by maintaining high resolution only for video images that have high weighting factors (those closer to the reference time), while using lower resolution for images with lower weighting factors. This selective approach maintains image quality where it contributes most to the motion blur effect while reducing processing time for less critical images.
Solution Approach 2:
The patent dynamically changes the resolution parameter of video images based on their weighting factor and temporal characteristics. This parameter adaptation allows the system to maintain high image quality for important frames while processing less important frames more quickly, thereby reducing overall processing time without significantly compromising the motion blur effect quality.
Data Source
AI summary
The invention relates to a method for processing video images comprising the steps for acquiring a plurality of video images during a time interval comprising a reference time t; associating a weighting factor with each of the video images, at least two of the video images having different weighting factors; memorising the video images; weighting each of the video images memorised with the associated weighting factor; generating an image called the reference image associated with the reference time t by averaging weighted video images. According to the invention, each video image is memorised with a resolution proportional to the weighting factor associated with said video image in order to reduce the memory space necessary for the storage of images and reduce the access time to the memorised images.