Image Object Removal Model for Real-Time Bald Head Effects
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Solution Overview
Problem
Existing methods for adding a bald head effect to images, such as using physical headgear or manual image editing, are costly and not realistic or efficient in real-time processing.
Innovation Solution
A method and apparatus for image processing that utilizes a preset object removal processing model trained on image sample pairs to remove a target object in real-time by identifying subject contours and processing pixels within and outside these contours, employing neural networks for deep learning and generative adversarial methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical headgear is worn to cover the original hair, then the bald head effect can be achieved, but the cost of headgear is higher and the effect is not realistic enough
Solution Approach 1:
The patent uses image processing to create a virtual copy of the bald head effect by removing hair pixels through neural network processing, replacing the need for physical headgear copies. The system processes the original image to generate a realistic bald head appearance without requiring physical props
Solution Approach 2:
The patent replaces the mechanical approach of wearing physical headgear with an automated image processing system using neural networks. The mechanical action of putting on headgear is substituted by algorithmic pixel processing that automatically removes hair and generates the bald head effect
2Reliability
If manual image editing is used to remove the hair, then the bald head effect can be achieved, but the labor cost for image editing operations is higher and cannot be processed in real time
Solution Approach 1:
The patent implements self-service by training the neural network to automatically perform the bald head effect processing without human intervention. The system learns from training data and then autonomously processes images to remove hair and generate realistic bald head effects, eliminating the need for manual editing operations
Solution Approach 2:
The patent applies preliminary action by pre-training the neural network model with extensive training data before deployment. The model is prepared in advance with learned patterns for hair removal and bald head generation, enabling it to process images rapidly in real-time without requiring manual editing during actual use
Data Source
AI summary
A method and an apparatus for image processing, electronic device and a storage medium are configured for: obtaining an image to be processed that is an image with a preset object, respective portions of pixels of the preset object are respectively located in and outside a subject contour region in the image to be processed; obtaining a target image by inputting the image to be processed to a preset object removal processing model, the target image is an object removal image corresponding to the image with the preset object; the model trained on a pre-established set of image sample pairs without the preset object, wherein each image sample pair comprises an original image with a preset object, and a preset object removal image obtained by processing respective pixels of a preset object respectively located outside and in the subject contour region in the original image.