Content-Aware Image Mirroring for Scene-Aligned Visual Effects
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Solution Overview
Problem
Existing image processing methods lack strong image appeal and visual impact, as they often require time-consuming and limited real-world scenarios like water surfaces for mirroring effects, and cannot effectively align mirrored content with real-world scenes.
Innovation Solution
An image processing method and apparatus that determines a mirror line position based on image content, including scene category and object recognition, to partition and overlay regions, enhancing visual impact by aligning mirrored content with real-world scenes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple operations such as image beautification and applying filters are used, then the processing speed is fast and the operation is easy, but the image appeal and visual impact are weak
Solution Approach 1:
The image is segmented into multiple regions based on depth information, with different mirroring operations applied to different regions. This allows complex visual effects to be achieved through coordinated simple operations on separate segments, maintaining ease of operation while enhancing image appeal.
Solution Approach 2:
The patent introduces depth dimension by obtaining depth information and performing mirroring operations in three-dimensional space. Objects are mirrored along their depth vectors rather than simple 2D reflection, creating immersive spatial effects that significantly enhance visual impact while building upon basic mirroring operations.
2Ease of operation
If traditional mirroring methods are used, then the operation is simple, but the mirrored content cannot be effectively aligned with real-world scenes
Solution Approach 1:
The system uses depth information as feedback to dynamically adjust mirroring operations. By analyzing depth maps and distance information, the system automatically determines appropriate mirroring parameters and region boundaries, achieving precise alignment with real-world scenes while maintaining automated operation simplicity.
Solution Approach 2:
The patent dynamically changes mirroring parameters including mirror line position, mirroring range, and transformation angles based on depth information and scene characteristics. This allows the same basic mirroring operation to achieve precise alignment across different scenes without complex manual adjustment.
3Ease of manufacture
If complex image processing operations are performed to enhance visual impact, then the image appeal is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary depth map generation and region segmentation before executing mirroring operations. By pre-processing the depth information and identifying key regions in advance, the actual mirroring operations can be executed efficiently with reduced computational overhead during the main processing stage.
Solution Approach 2:
Different processing complexities are applied to different regions of the image based on their importance and depth characteristics. Key regions with significant depth variation receive more sophisticated mirroring treatment, while other areas use simpler operations, optimizing the balance between visual impact and processing time.
Data Source
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AI summary
Embodiments of the present disclosure relate to an image processing method and apparatus, a device, and a medium. The method includes: obtaining a target image to be processed; obtaining content information of the target image; determining a position of a mirror line in the target image based on the content information, where the mirror line partitions the target image into a first region and a second region; determining, based on the second region and the position of the mirror line in the target image, mirror content corresponding to image content of the first region; and overlaying image content of the second region with the mirror content to obtain a processed target image.