Image Orientation Correction via Content Analysis
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Solution Overview
Problem
Digital images often suffer from rotational skew due to unintentional camera orientation, requiring manual correction which can be cumbersome and inaccurate.
Innovation Solution
A method and system that analyze the image content to determine the current orientation and automatically rotate it to align with a predetermined reference orientation, using techniques such as edge detection and facial recognition to identify dominant axes and correct the image orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual correction is used to fix image rotation, then the user can correct orientation errors, but the process is cumbersome and inaccurate
Solution Approach 1:
The system automatically detects image orientation errors and corrects them without requiring manual user intervention. The image processing system analyzes the image content, determines the rotation angle, and applies correction automatically, making the system serve itself rather than requiring continuous manual operation.
Solution Approach 2:
The patent replaces manual mechanical correction operations with automated computational algorithms. Instead of manual rotation and adjustment operations, the system uses image processing techniques including edge detection, feature recognition, and mathematical rotation transformations to automatically correct orientation errors.
2Productivity
If automated orientation correction is implemented, then the correction process is accurate and efficient, but the system complexity increases
Solution Approach 1:
The patent divides the orientation correction process into distinct sequential steps: image acquisition, orientation error detection, rotation angle calculation, and image rotation correction. Each step is handled by a dedicated module or algorithm, making the complex system manageable through functional segmentation.
Solution Approach 2:
The system employs a universal image processing framework that can handle various types of images and orientation errors through a single integrated approach. The same core algorithms detect and correct different rotation angles and orientations, making the system multi-functional without requiring separate specialized modules for each correction scenario.
Data Source
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AI summary
In some implementations, a method rotates images based on image content to correct image orientation. In some implementations, a method includes obtaining one or more identifications of content depicted in an image and determining a current orientation of the content depicted in the image. The current orientation is determined based on the one or more identifications of the content. An amount of rotation for the image is determined that orients the content closer to a predetermined reference orientation than to the current orientation. The image is rotated by the determined amount.