Mobile Terminal Focal Point Correction via Hybrid Detection
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Solution Overview
Problem
Current mobile terminals lack an effective method for automatically adjusting the focal point value when capturing images, leading to potential errors in image clarity due to limitations in phase difference detection and accuracy.
Innovation Solution
A mobile terminal system that uses a combination of phase difference and comparison value detection schemes to correct focal point values, storing error data for future reference and adjusting the focal point based on preset accuracy levels to ensure accurate image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If phase difference detection is used to determine focal point value, then image capture speed is improved, but measurement precision deteriorates due to detection errors
Solution Approach 1:
The patent combines phase difference detection and comparison value detection into a hybrid system. The phase difference detection provides initial focal point estimation for speed, while the comparison value detection refines the result for precision. Both detection methods work together to overcome the limitations of using either method alone.
Solution Approach 2:
The patent implements feedback by comparing the focal point values obtained from phase difference detection and comparison value detection. The system uses the difference between these two values to correct and refine the focal point determination, ensuring both speed and precision are achieved through iterative verification.
2Measurement precision
If multiple detection schemes are combined to improve focal point accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the focal point detection process into two distinct detection schemes: phase difference detection for initial estimation and comparison value detection for refinement. By dividing the complex task into manageable segments, the system can handle each part with dedicated algorithms while maintaining overall manageability.
Solution Approach 2:
The patent introduces an intermediary correction mechanism that processes the results from both detection schemes. This intermediary layer compares the two detection results and applies necessary corrections, acting as a mediator that simplifies the interaction between the two detection systems and reduces overall complexity.
3Measurement precision
If focal point correction is performed for every image capture, then measurement precision is improved, but productivity deteriorates due to repeated corrections
Solution Approach 1:
The patent performs preliminary action by conducting both phase difference detection and comparison value detection before finalizing the focal point value. This preliminary dual-detection approach ensures that the focal point is accurately determined in advance, preventing the need for repeated corrections during the image capture process.
Solution Approach 2:
The system employs self-service by automatically comparing and correcting focal point values without requiring manual intervention. The feedback mechanism self-regulates the focal point determination process, adjusting only when necessary and maintaining high productivity through automated error correction.
Data Source
AI summary
A mobile terminal for capturing an image and a method for controlling the same are provided. The mobile terminal includes a camera unit configured to receive an external image and process the received image to an image frame, and a control unit configured to set a focal point value of the image frame received from the camera unit, wherein the focal point value is a focal point value obtained by correcting a first focal point value extracted according to a first scheme of detecting a focal point value by using a phase difference of the image by using a second focal point extracted according to a second scheme of detecting a focal point by using a comparison value of the image.