Dynamic Focus Threshold Adjustment for Accurate Pixel Marking
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Solution Overview
Problem
Video camera systems face challenges in accurately determining focus effect due to external factors like environment and light, making it difficult for videographers to clearly observe and adjust focus settings.
Innovation Solution
A method for marking focused pixels in images based on focus thresholds, which adjusts focus thresholds dynamically based on the focus degree of images and applies denoising techniques to improve accuracy, allowing for more precise focus marking across varying shooting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed focus threshold is used to mark focused pixels, then the marking process is simple and fast, but the accuracy of focus determination deteriorates under varying external conditions such as environment and light
Solution Approach 1:
The patent implements dynamic adjustment of the focus threshold based on the focus degree of the image. The system calculates the focus degree by analyzing the distribution of focus parameters across all pixels, and then adjusts the threshold accordingly. This allows the marking system to adapt to varying external conditions (lighting, environment) while maintaining high accuracy in focus determination without requiring complex manual calibration.
Solution Approach 2:
The patent employs a feedback mechanism where the focus degree calculated from the current image is used to adjust the focus threshold for marking. The system first determines the focus degree based on focus parameter distribution, then uses this information to dynamically set the threshold, creating a closed-loop system that continuously optimizes focus marking accuracy under different conditions.
2Measurement precision
If the focus threshold is adjusted to improve focus marking accuracy, then the precision of focused pixel identification improves, but the computational time and processing complexity increase
Solution Approach 1:
The patent performs preliminary calculation of the focus degree before executing the focus marking process. By first analyzing the distribution of focus parameters and determining the focus degree, the system prepares the threshold adjustment strategy in advance. This preliminary action allows the subsequent threshold adjustment to be performed efficiently without requiring complex real-time computations during the actual marking process.
Solution Approach 2:
The patent changes the focus threshold parameter dynamically based on the calculated focus degree. Instead of using a fixed threshold or performing complex multi-parameter optimization, the system adjusts only the threshold parameter according to the focus degree distribution, significantly reducing computational complexity while maintaining high identification precision.
3Reliability
If external factors such as environment and light are considered in focus determination, then the reliability of focus marking improves, but the difficulty of detecting and measuring focus accurately increases
Solution Approach 1:
The patent enables the system to automatically determine the focus degree by analyzing the distribution of focus parameters within the image itself. The system uses the image data to calculate the focus degree, which then guides the threshold adjustment. This self-service approach allows the system to adapt to external conditions (lighting, environment) automatically without requiring complex external sensors or manual measurement, thereby improving reliability while keeping the measurement process straightforward.
Data Source
AI summary
Provided is a method for marking a focused pixel. The method includes: in response to marking a focused pixel of a first image based on a focus threshold, adjusting the focus threshold in the case that an adjustment condition is satisfied; marking a focused pixel of a second image based on the adjusted focus threshold. The adjustment condition includes: a focus degree of the first image is less than a target focus degree, and/or, the focus degree of the first image is greater than the target focus degree. Moreover, a similarity between the first image and the second image is greater than a similarity threshold, and a difference between a focus degree of the second image and the target focus degree is less than a difference between the focus degree of the first image and the target focus degree.