Object-Based Foreground and Background Image Effects
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Solution Overview
Problem
Existing image editing technologies lack the ability to separately apply light source and color effects to the foreground and background of an image, limiting the diversity and personalization of selfie images.
Innovation Solution
An electronic device that analyzes the characteristics of a light source during photography, applies a virtual light source effect to the foreground, and a different color effect to the background, using a processor to detect objects and determine appropriate effects based on their properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single effect is applied to the entire image including foreground and background, then the processing is simple, but the image diversity and personalization are limited
Solution Approach 1:
The patent divides the image into foreground and background regions, allowing different effects to be applied to each region independently. This segmentation enables the system to apply a first effect to the foreground and a second effect to the background, thereby achieving diverse image effects without requiring complex manual processing for each region.
Solution Approach 2:
The patent applies different quality characteristics to different parts of the image by using object-based processing. Each detected object in the foreground can have its own effect parameters adjusted independently, while the background receives a separate effect. This local quality approach allows personalized image effects while maintaining manageable processing complexity through automated object detection and region assignment.
2Adaptability or versatility
If virtual light source effects are applied to the foreground, then the image personalization is enhanced, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary object detection and region segmentation before applying effects. By pre-identifying foreground objects and background regions, the system prepares the image structure in advance, which simplifies the subsequent effect application process. This preliminary action allows complex light source effects to be applied efficiently to specific regions without requiring complex real-time processing during effect generation.
Data Source
AI summary
At least one processor included in an electronic device may execute a camera, detect at least one object based on image data obtained through the camera in a first light source environment, analyze color properties of the detected at least one object, determine a first effect based on the analyzed color properties of the object, apply a second light source effect to the at least one object, the second light source effect being different from the first light source, and apply the first effect to a background except the at least one object. Various other embodiments identified through the specification are possible.