Focus Adjusting Device Edge Distribution Lens Control
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Solution Overview
Problem
Existing video camera systems that utilize chromatic aberration for focus adjustment are unable to rapidly focus on subject images that have not been previously focused on.
Innovation Solution
A focus adjusting device and program that includes an edge detection unit, a distribution detection unit, and a control unit, which detect edges and distributions of a subject image for each color component, and move a lens based on these detections to rapidly achieve focus, using methods such as gradient analysis, line spread function calculations, and defocus amount determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If chromatic aberration is applied to focus on previously focused subject images, then focus speed is improved, but the ability to rapidly focus on newly introduced subject images deteriorates
Solution Approach 1:
The system performs preliminary detection of edge distributions and line spread functions to predict the focus state before the subject image is fully captured. By analyzing the edge distribution characteristics and calculating the line spread function in advance, the system can determine the defocus amount and focalization direction, enabling rapid focus adjustment without waiting for the complete image to be processed.
Solution Approach 2:
The system continuously monitors the edge distribution and line spread function during image capture and uses this feedback to dynamically adjust the lens position. The feedback mechanism allows the system to detect changes in focus state and make real-time adjustments, ensuring rapid focusing on both previously focused and newly introduced subject images.
2Measurement precision
If edge detection is performed for each color component, then measurement precision of focalization state is improved, but device complexity increases
Solution Approach 1:
The system segments the image into multiple color components (red, green, blue channels) and performs edge detection independently on each color component. By analyzing the edge distribution characteristics of each color component separately, the system achieves high measurement precision of focalization state while managing computational complexity through parallel processing of color channels.
Solution Approach 2:
The system performs edge detection on color components that provide the most informative data for focalization detection. By selectively analyzing edges in specific color channels and focusing on the most significant edge distribution patterns, the system achieves accurate focalization measurement without unnecessarily processing all possible image data, thus reducing overall computational complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid focusing on subject images by accurately determining focalization states and moving the lens accordingly, improving focus adjustment speed and efficiency.
Implementation Method 1
A video camera which applies chromatic aberration to focus a subject image obtained through a lens is known
Data Source
AI summary
A focus adjusting device which includes an edge detection unit that detects edges of a subject image for each color component forming an image including the subject image; a distribution detection unit that detects distributions of a focalized state and an unfocused state of the image based on the edges detected by the edge detection unit; and a control unit that moves a lens based on the distributions detected by the distribution detection unit, wherein the subject image is incident from an optical system having the lens, the control unit moves the lens, and thus the subject image is focused on.