Statistical Image Focusing Window Selection
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Solution Overview
Problem
Existing automatic focusing systems in imaging devices often fail to guarantee a clear main imaging region when the main imaging region is not within predefined focusing windows, leading to increased calculations and deteriorated focusing results.
Innovation Solution
The system selects image focusing windows based on statistical data to maximize the ratio of pixels within the main imaging region, using a weighted evaluation function to optimize focus measure values and control calculations, ensuring a sharp focusing curve.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the main imaging region is not within predefined focusing windows, then the focusing accuracy deteriorates, but increasing the focusing window area increases the amount of calculations
Solution Approach 1:
The patent divides the image frame into multiple candidate focusing windows of different sizes and positions. The system segments the evaluation process by calculating focus measure values for each candidate window independently, then selects the optimal window based on statistical criteria. This allows precise focusing on the main imaging region without requiring the entire image to be processed, thus reducing computational burden while maintaining accuracy.
Solution Approach 2:
The patent changes the parameters of focusing windows dynamically based on statistical data about the main imaging region's location and size. By adjusting window position and area parameters according to detected object characteristics, the system optimizes the ratio of main imaging region pixels within the focusing window, achieving accurate focusing with minimal calculations.
2Measurement precision
If the focusing window area is increased to cover the main imaging region, then focusing precision improves, but the sharpness of the focusing curve deteriorates
Solution Approach 1:
The patent applies local quality by concentrating the focusing evaluation on a localized region (the focusing window) that contains the main imaging region, rather than evaluating the entire image. By optimizing the window size and position to maximize the ratio of main imaging region pixels, the system achieves both precise focusing and a sharp focusing curve, as the evaluation is focused on the most relevant area.
3Device complexity
If fixed focusing windows are used, then the system complexity is reduced, but the adaptability to different main imaging region locations deteriorates
Solution Approach 1:
The patent implements dynamic focusing windows that adapt to different main imaging region locations and sizes. Based on statistical data about object characteristics and positions, the system dynamically selects and adjusts the focusing window parameters (position, size, shape) for each image frame. This dynamic adaptation maintains low system complexity by using predefined candidate windows while achieving high versatility through data-driven selection.
Data Source
AI summary
A system for automatic focusing with a lens and methods for making and use the same are provided. When performing a focusing operation, a controller calculates a focus measure value for each lens position of a plurality of lens positions. The focus measure values are calculated based on each of the window evaluation values and a respective weight for image focusing windows within a set of image focusing windows. The controller then compares the calculated focus measure values of the plurality of lens positions in order to select an optimal lens position. The set of image focusing windows can be selected based on one or more sets of image focusing window selection rules derived from statistical data. In addition, the respective weights for image focusing windows can also be calculated based on the statistical data.