Image Composition Correction via Region Depth Adjustment
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Solution Overview
Problem
Existing image processing technologies face challenges in efficiently editing captured images by separating important subjects from backgrounds and reconstructing compositions, especially in digital cameras, due to difficulties in accurately constructing 3D spaces and assembling these techniques into practical devices.
Innovation Solution
An image processing apparatus and method that includes a changing section to alter the area of a subject image, a determiner to calculate the correction strength based on the area-change amount, and a corrector to perform image corrections accordingly, allowing for effective composition changes in captured images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D space construction is used to reconstruct image composition, then image composition accuracy is improved, but device complexity increases making it difficult to assemble into digital cameras
Solution Approach 1:
The image is divided into multiple regions with different depth values, allowing independent processing of each region. This segmentation approach enables accurate composition reconstruction by applying different blur levels to different regions without requiring complete 3D space construction, thus reducing device complexity while maintaining accuracy.
Solution Approach 2:
The patent changes the depth parameter of specific regions to reconstruct image composition. By adjusting depth values and applying corresponding blur effects, the system achieves accurate composition reconstruction without the complexity of full 3D space construction, resolving the contradiction between accuracy and device complexity.
2Adaptability or versatility
If region division and separate blur application are used to correct composition, then image editing capability is improved, but processing time and complexity increase
Solution Approach 1:
Depth information is obtained in advance during image capture, and regions are pre-divided based on this depth information. This preliminary preparation enables fast processing during editing operations, as the system only needs to apply blur effects to pre-defined regions rather than performing complex analysis during editing, thus improving editing capability while reducing processing time.
Data Source
AI summary
The area of a subject image in an image is changed. The correction strength is determined based on the area-change amount between the area before the area change and that after the area change for the subject image whose area has been changed. A correction process is performed for the image in accordance with the correction strength.