Pixel Shifting Super-Resolution Circuit for Moving Object Synthesis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing techniques fail to effectively synthesize multiple images to generate a high-resolution composite image, particularly when objects move within the photographing range, leading to incomplete pixel data and reduced synthesis accuracy.
Innovation Solution
An image processing apparatus that aligns and arranges pixels from multiple images in a high-resolution image space, evaluates pixel filling rates, and determines optimal areas for synthesis, using pixel filling rate evaluation values to ensure accurate alignment and interpolation, thereby enhancing the synthesis accuracy of composite images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If pixel shifting super-resolution is used to generate high-resolution composite images, then image resolution is improved, but synthesis accuracy deteriorates when objects move within the photographing range
Solution Approach 1:
The image is divided into multiple evaluation areas, and pixel filling rates are calculated for each area separately. This segmentation allows the system to identify specific regions with moving objects and handle them differently, preventing moving objects from degrading the overall synthesis accuracy while maintaining high resolution in stable areas.
Solution Approach 2:
The patent applies different evaluation criteria to different regions of the image. By calculating pixel filling rates locally for each evaluation area and comparing them against thresholds, the system adapts its synthesis approach to local conditions, ensuring high accuracy in stable regions while identifying and excluding regions with moving objects.
2Manufacturing precision
If multiple images are synthesized to generate high-resolution composite images, then image detail is improved, but pixel data completeness deteriorates in areas with moving objects
Solution Approach 1:
The system calculates pixel filling rates as feedback information to assess data completeness in each evaluation area. This feedback mechanism allows the system to identify areas where moving objects cause data loss and adjust the synthesis process accordingly, preventing incomplete data from degrading the overall image quality.
Solution Approach 2:
The patent performs preliminary evaluation of pixel filling rates before final image synthesis. By assessing data completeness in advance and identifying areas with insufficient pixel data due to moving objects, the system can prepare appropriate handling strategies, such as excluding problematic areas or applying specialized interpolation methods.
Data Source
AI summary
An image processing apparatus including a pixel shifting super-resolution image generation circuit configured to generate a high-resolution composite image from a plurality of images, an evaluation area setting circuit configured to set a plurality of evaluation areas within an area extraction range of the composite image, a synthesis accuracy evaluation circuit configured to evaluate, for each of the plurality of evaluation areas, a pixel filling rate for the evaluation area and calculate a plurality of pixel filling rate evaluation values, and a determination circuit configured to determine a determination area from among the plurality of evaluation areas based on the plurality of pixel filling rate evaluation values.