Portable Terminal Image Capture Validity Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Portable terminal image photographing functions face challenges in capturing desired moments due to issues like blurry images from camera wobbling and subject movement, leading to inappropriate composite images when inappropriate candidate images are selected.
Innovation Solution
The method and apparatus for image photographing in a portable terminal involve photographing multiple images with intervals, recognizing subjects, extracting candidate images, determining their validity, and displaying only valid candidate images to the user, preventing the selection of inappropriate images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple images are photographed sequentially to provide high-quality composite images, then image quality is improved, but the risk of including inappropriate candidate images (due to camera wobble or subject movement) increases
Solution Approach 1:
The system performs preliminary validity determination on candidate images before displaying them for user selection. The controller extracts candidate images from multiple photographed images and determines their validity based on compositeness criteria (such as subject position consistency, focus quality, and absence of motion blur) before presenting them to the user. This preliminary filtering prevents inappropriate images from being selected for compositing.
Solution Approach 2:
The system provides feedback to the user by displaying validity information for each candidate image. The touch screen displays visual indicators (such as checkmarks or color coding) that inform users which candidate images are valid and suitable for compositing. This feedback mechanism guides users to select only appropriate images, thereby maintaining high composite image quality.
2Ease of operation
If all extracted candidate images are displayed together without distinction, then user selection flexibility is improved, but the likelihood of selecting inappropriate images increases
Solution Approach 1:
The system applies different display qualities or states to different candidate images based on their validity. Valid candidate images are displayed with visual indicators (such as highlighted borders, checkmarks, or different colors) that distinguish them from invalid images. This local differentiation maintains user flexibility in selecting from multiple images while ensuring that only appropriate images are easily identifiable for selection.
3Device complexity
If inappropriate candidate images are not distinguished from valid ones, then display simplicity is improved, but user convenience deteriorates due to potential composite errors
Solution Approach 1:
The system uses color changes or visual indicators to distinguish valid from invalid candidate images. The touch screen displays valid candidate images with visual markers (such as green checkmarks, highlighted borders, or specific color coding) while invalid images are displayed without these markers or with different indicators. This visual differentiation maintains display simplicity while significantly improving user convenience by preventing selection of inappropriate images.
Data Source
AI summary
An image photographing method and an apparatus in a portable terminal is provided. The method includes photographing an image a number of times with an interval when a photographing signal is input in an optimum subject photographing mode, recognizing a subject from the photographed images, extracting a candidate image which includes the recognized subject, determining a validity of the extracted candidate image, displaying one of the photographed images as a representative image, and dividing and displaying a valid candidate image which is determined as a valid candidate image and an invalid candidate image which is determined as an invalid candidate image on one side of the displayed representative image, or displaying only the valid candidate image.


