Image Correction Based on Object Attribute Changes
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Solution Overview
Problem
Conventional image correction techniques fail to account for various attributes of objects in images, leading to suboptimal correction results.
Innovation Solution
An electronic device with a processor that acquires images, determines attribute changes such as position, size, and direction of objects, and selects appropriate correction methods to correct distortions based on these attributes, displaying the corrected images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image correction techniques are used, then the correction process is simple and fast, but the correction accuracy is insufficient because object attributes are not considered
Solution Approach 1:
The patent applies parameter changes by detecting object attributes (position, size, direction) and dynamically adjusting correction parameters based on these detected changes. The correction amount and direction are modified according to the object's attribute variations, enabling accurate correction that adapts to different object states rather than using fixed correction parameters.
Solution Approach 2:
The patent implements local quality by applying different correction methods to different regions of the image based on object attributes. Specifically, the correction process is customized for each detected object according to its position, size, and direction, rather than applying uniform correction to the entire image. This allows precise, object-specific correction while maintaining efficiency.
2Manufacturing precision
If multiple correction methods are selected based on attribute changes, then the image correction quality improves, but the processing time and computational load increase
Solution Approach 1:
The patent applies dynamics by making the correction method selection dynamic rather than static. The system automatically selects appropriate correction methods based on real-time detection of object attribute changes. This dynamic adaptation allows the system to use more complex correction methods only when necessary (when attribute changes are detected), while using simpler methods when attributes remain stable, thus balancing quality and processing time.
Solution Approach 2:
The patent segments the image processing task by first detecting objects and their attributes, then applying correction methods specifically tailored to each object's characteristics. This segmentation allows the system to focus computational resources on objects that need correction based on their attribute changes, rather than uniformly processing the entire image, thereby reducing overall processing time while maintaining quality.
Data Source
AI summary
According to various exemplary embodiments of the present disclosure, an electronic device may include a memory for storing one or more instructions, and a processor. The processor may be configured to acquire at least one image of at least one object, determine a change of an attribute corresponding to the at least one object, select at least one correction method based on the attribute change, correct the at least one image using the at least one correction method, and displaying the at least one image corrected by the at least one correction method on a display.