Object-Based Image Editing With Personalized AI Retouching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing picture retouching software uses fixed editing parameters, resulting in sameness of edited pictures and failing to satisfy users' personalized editing requirements.
Innovation Solution
An electronic device analyzes object attributes and features to recommend personalized editing menus, allowing separate editing of each object in a picture, and incorporates AI retouching for enhanced user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed editing parameters are used for picture retouching, then the editing process is simple and fast, but the edited pictures become identical and fail to satisfy personalized requirements
Solution Approach 1:
The patent applies dynamics by transitioning from fixed editing parameters to dynamic parameter adjustment. The system automatically analyzes picture content (objects, scenes, lighting) and dynamically selects appropriate editing parameters for each element, allowing personalized retouching while maintaining efficiency. This resolves the contradiction by making the editing process adaptive rather than static.
Solution Approach 2:
The patent changes parameters from fixed preset values to variable parameters that are automatically adjusted based on picture analysis. The system modifies editing parameters (such as brightness, contrast, color correction) dynamically according to the specific content detected in each picture, enabling personalized results without manual parameter adjustment.
2Ease of operation
If the entire picture is adjusted as a whole using fixed parameters, then the editing process is simple, but personalized requirements for specific objects cannot be satisfied
Solution Approach 1:
The patent applies segmentation by dividing the picture into distinct elements (objects, scenes, background) and applying different editing parameters to each segment. The system identifies and separates different picture elements, then provides customized retouching for each one, allowing users to focus on specific objects without manually adjusting the entire picture.
Solution Approach 2:
The system performs self-service by automatically analyzing the picture content and determining appropriate editing parameters without user intervention. The AI-based analysis automatically identifies objects and scenes, selects suitable editing treatments, and applies them independently to each element, maintaining ease of operation while enabling object-specific personalization.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
This application discloses a picture editing method and an electronic device. The method includes: An electronic device displays a first picture, where the picture includes a first object; the electronic device splits the first object away from the first picture; the electronic device displays an editing menu of the first object based on information about the first object; and the electronic device edits the first object in response to an operation on the editing menu. In other words, the electronic device may split an object away from a picture, and the electronic device recommends an editing menu of the object based on information about the object. When a user operates the editing menu, the electronic device edits the first object based on a function in the editing menu. In this way, the electronic device can edit the object by splitting the object away from the picture, so that each object in the picture can be separately edited. Then, the electronic device recommends the editing menu of the object based on the information about the object, so that personalized editing can be performed on each object, to satisfy a personalized requirement for each object, and implement high practicability.