Pre-Shutter Image Quality Evaluation for Photographing Devices
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Solution Overview
Problem
Existing photographing devices do not provide real-time evaluation of image information before the shutter is operated, leading to potential blurring due to hand movement or out-of-focus issues, as the evaluation is based on correlations between vibration detection and shutter speed only after the shutter is pressed.
Innovation Solution
A method that converts optical images into electrical image information and evaluates it before storage, allowing for pre-operational assessment of blurring due to hand movement or focus, with output results displayed on the device, enabling photographers to adjust settings before capturing the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image evaluation is performed after shutter operation based on vibration correlation, then the evaluation can be obtained, but the evaluation is provided too late and may not reflect actual image quality
Solution Approach 1:
The patent applies preliminary action by evaluating image quality parameters (focus, blur, exposure) before the shutter operation is completed. The evaluation is performed on the captured image data immediately after acquisition but before storage, allowing photographers to see quality assessment results in real-time without waiting for post-processing or vibration correlation analysis.
Solution Approach 2:
The patent implements feedback by providing real-time evaluation results to the photographer during the shooting process. The evaluation information is displayed on the display unit while the shutter is still operating or immediately after, enabling the photographer to adjust settings or retake photos based on actual image quality rather than estimated values.
2Ease of operation
If vibration detection and shutter speed correlation is used for blur evaluation, then evaluation can be provided, but the evaluation is based on estimation rather than actual image information
Solution Approach 1:
The patent uses feedback by displaying actual image quality evaluation results (focus status, blur detection, exposure assessment) to the photographer during the shooting process. This real-time feedback based on actual image data replaces the previous estimation method, allowing photographers to see accurate quality information immediately.
Solution Approach 2:
The patent substitutes the mechanical vibration detection system with a direct image quality analysis system. Instead of inferring blur from vibration data and shutter speed correlations, the system directly analyzes the captured image pixels to determine focus status, blur程度, and exposure quality, providing more accurate measurements.
3Device complexity
If evaluation is provided only after shutter operation, then the system can be simple, but the photographer cannot adjust settings before capture
Solution Approach 1:
The patent applies preliminary action by performing image quality evaluation before the final storage operation. The evaluation is conducted on the captured image data immediately after acquisition but before writing to memory, allowing photographers to see quality results and adjust settings in real-time during the shooting process.
Solution Approach 2:
The patent ensures continuity of useful action by maintaining the evaluation function throughout the shooting process. The evaluation is performed continuously or repeatedly during the capture sequence, providing ongoing quality feedback rather than a single post-processing evaluation, thereby enabling real-time adjustment without significantly increasing system 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 photographers to confirm and improve image quality by evaluating and adjusting for blurring and focus before capturing, reducing the likelihood of blurry images and enhancing usability by providing actionable feedback.
Implementation Method 1
an optical image of an object is converted into electrical image information
Data Source
AI summary
An evaluation on image information is indicated before operating a shutter operating section. For example, a method of evaluating image information includes: (a) a step of converting an optical image of an object to be photographed into electrical image information; (b) a step of evaluating the image information that has not yet been stored in a non-volatile memory, wherein the image information is evaluated in a state in which a shutter operating section, on which a predetermined operation is performed when storing the image information in the non-volatile memory, is not being subjected to the predetermined operation; and (c) a step of outputting an evaluation result.