Electronic Device Image Display Method for Removing Obstructions
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Solution Overview
Problem
In motion shooting scenarios, electronic devices struggle to capture unobstructed images due to unwanted objects like street lamps and electric wire poles, requiring cumbersome image editing processes to remove these objects, which reduces efficiency.
Innovation Solution
An image display method and apparatus that shoots multiple frame images in response to user input, processing and displaying images to remove unwanted objects by aligning and combining frame images using affine transformation and feature point matching, allowing for real-time display and saving of unobstructed images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple frame images are shot and processed to remove unwanted objects, then the quality of the captured image is improved, but the operation process becomes more complex and time-consuming
Solution Approach 1:
The system automatically performs preliminary actions by capturing multiple frame images in rapid succession and pre-processing them to identify and remove unwanted objects. This eliminates the need for users to manually select and process individual images, as the system has already prepared the optimal unobstructed image before the user needs it.
Solution Approach 2:
The image processing system performs self-service by automatically analyzing captured frames, identifying unwanted objects, and generating cleaned images without user intervention. The system selects frames, aligns them through affine transformation, and combines them to remove obstructions autonomously, freeing the user from complex manual editing operations.
2Manufacturing precision
If multiple frame images are shot and processed to remove unwanted objects, then the quality of the captured image is improved, but the time required to obtain the final image increases
Solution Approach 1:
The system maintains continuity of useful action by capturing multiple frame images in rapid, continuous succession during motion shooting. The processing pipeline continuously analyzes each frame as it is captured, performing real-time affine transformation and object removal, thereby eliminating idle time between capture and processing while ensuring high-quality output.
Solution Approach 2:
The patent replaces manual mechanical image editing operations with automated computational processing. Instead of users manually selecting and editing images, the system uses algorithms for affine transformation, feature point matching, and automatic frame selection to rapidly process multiple images and remove unwanted objects, significantly reducing the time required.
3Ease of operation
If a single image is captured in motion shooting scenario, then the operation is simple, but the image is likely to include unwanted objects blocking the landscape
Solution Approach 1:
The system merges multiple captured frame images through affine transformation and feature point matching to create a single high-quality unobstructed image. By combining information from multiple frames taken during motion, the system eliminates unwanted objects that appear in individual frames while preserving the desired landscape, thereby maintaining operational simplicity while improving image quality.
Data Source
AI summary
An image display method and apparatus, and an electronic device are provided. The method includes: receiving a first input from a user when an electronic device is in a target shooting mode; shooting M frame images in response to the first input; and displaying, when a first image among the M frame images includes a target object, a second image in a first display region. The second image is an image after first processing is performed on the first image, the first processing is to remove the target object in the first image based on at least one frame image among the M frame images, the at least one frame image does not include the first image, and M is an integer greater than 1.