Image Modification via Similar Image Feature Correlation
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Solution Overview
Problem
Users of mobile terminals face challenges in modifying captured images, such as removing unwanted objects or features, due to limitations in existing image editing technologies which often require manual selection of similar images or lack robust modification capabilities.
Innovation Solution
A method and apparatus that enable image modification by searching an image gallery based on characteristics of a captured image, determining correlations with similar images, and allowing modifications using features from those similar images, such as erasing unwanted objects or adding new features, through a processor-configured system that includes an image finder, correlator, and modifier.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of similar images is used for image modification, then user control over modification process is maintained, but operation complexity and time consumption increase significantly
Solution Approach 1:
The system performs automatic image search and modification without requiring manual user intervention. The processor automatically searches the image gallery for similar images, identifies matching features, and applies modifications based on the similar image data, enabling the system to serve itself rather than requiring continuous user input
Solution Approach 2:
The system pre-processes images by storing them in a gallery with extracted features and metadata before modification is needed. When modification is requested, the pre-organized image gallery enables rapid automatic matching without requiring real-time manual selection, thus saving time during the actual modification operation
2Adaptability or versatility
If existing image editing technologies are used, then basic editing functions are available, but robust modification capabilities for removing unwanted objects or adding features are limited
Solution Approach 1:
The system provides multiple modification capabilities through a single unified platform. By searching for similar images and extracting features from them, the system can perform diverse operations including removing unwanted objects, adding new features, correcting image defects, and enhancing image content, all through the same image search and feature extraction mechanism
Solution Approach 2:
The system introduces similar images as an intermediary resource to bridge the gap between basic editing functions and advanced modification capabilities. By using third-party similar images from the gallery as a source of replacement features and content, the system achieves robust modification without requiring complex built-in editing algorithms for every possible operation
3Manufacturing precision
If extensive user input and expertise are required for image modification, then precise control over modification details is achieved, but ease of use and accessibility to non-expert users deteriorates
Solution Approach 1:
The system automatically evaluates the modification results by comparing the modified image regions with the source similar image data. This feedback mechanism allows the system to self-correct and refine modifications, achieving precise results without requiring users to manually adjust parameters or have expertise in image processing techniques
Solution Approach 2:
The system performs automatic feature matching, image search, and modification application without requiring user expertise. The processor independently identifies corresponding features between the target image and similar images, selects appropriate modifications, and applies them automatically, making the service self-sufficient and accessible to non-expert users
Data Source
AI summary
A method for providing image modification may include searching an image gallery based on a characteristic of a captured image, determining a correlation between the captured image and a similar image from the image gallery, the similar image sharing the characteristic, and enabling modification of the captured image based on features associated with the similar image that are not visible in the captured image. An apparatus and computer program product corresponding to the method are also provided.