Image Generation With Local Enlargement for Detail Visibility
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Solution Overview
Problem
Users often overlook important information in captured images due to layout and font size differences, such as small text in posters, leading to missed details.
Innovation Solution
An electronic device displays a first image with a target object in a first region and a locally enlarged second image in a second region, allowing users to input for capturing third and fourth images based on a layout mode, synthesizing them into a target image to highlight important information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a single image is captured and displayed, then the image captures the complete scene, but important information may be ignored due to layout and font size
Solution Approach 1:
The patent segments the captured image into multiple regions based on importance, creating a main image area and a locally enlarged image area. This segmentation allows important information to be highlighted separately while maintaining the complete scene context, thus preventing information loss without requiring completely complex processing systems.
Solution Approach 2:
The patent introduces a spatial dimension by displaying both the original image and a locally enlarged version simultaneously on the screen. This dimensional approach allows users to view both the complete scene and detailed important information at different scales, effectively addressing information loss without increasing device complexity.
2Loss of information
If the image is displayed at original size, then the complete scene is visible, but small text and details are hard to see
Solution Approach 1:
The patent utilizes screen real estate efficiently by displaying the main image and locally enlarged image in different spatial regions simultaneously. This dimensional approach allows users to view both the complete scene at original scale and detailed important information at enlarged scale without requiring additional display area.
Solution Approach 2:
The patent applies local quality enhancement by selectively enlarging only the regions containing important information rather than the entire image. This allows detailed view of small text and important elements while maintaining the overall scene context, effectively addressing detail visibility without consuming excessive display area.
3Loss of information
If multiple images are captured to ensure all details are visible, then complete information is captured, but the operation becomes more complex
Solution Approach 1:
The patent automatically segments the captured image into main and locally enlarged regions based on importance analysis, eliminating the need for users to manually capture multiple images. This automated segmentation ensures information completeness while keeping the capturing operation simple and intuitive.
Solution Approach 2:
The system performs automatic importance analysis and regional segmentation without requiring user intervention to capture multiple images. The electronic device itself identifies and highlights important information, making the operation self-service and maintaining ease of use while ensuring complete information capture.
4Ease of operation
If the image is processed to highlight important information, then user experience is enhanced, but processing time increases
Solution Approach 1:
The patent performs importance analysis and regional segmentation in advance during the image capture process itself, rather than as a separate post-processing step. This preliminary action enhances user experience by immediately highlighting important information while minimizing additional processing time.
Solution Approach 2:
The patent applies processing only to specific regions containing important information rather than the entire image. This localized processing approach enhances user experience by highlighting critical details while significantly reducing the overall processing time compared to processing the complete image.
Data Source
AI summary
An image generation method and apparatus, and an electronic device. The method includes: in a case that a first image is displayed in a first region of a photographing preview interface and the first image includes a target object, displaying, in a second region in the first region, a second image including the target object, where a display size of the target object in the second image is greater than a display size of the target object in the first image; receiving a first input; and capturing a third image and a fourth image in response to the first input, and generating a target image based on the third image and the fourth image according to a target layout mode, where the target layout mode is a layout mode of the first image and the second image.