Hairline Image Processing for Facial and Background Consistency
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Solution Overview
Problem
Existing image processing methods struggle to effectively adjust hairlines in images while maintaining consistency with other facial features and background information, leading to poor display effects.
Innovation Solution
An image processing method that adjusts an original image using a target neural network to generate a reference original image, determines target region information, particularly the hairline location, and fuses a target region image matching this information with the original image to create a hairline-adjusted image, ensuring other regions remain consistent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the original image is adjusted using a target neural network to generate a reference original image, then the hairline adjustment effect is improved, but the consistency with other facial features and background information deteriorates
Solution Approach 1:
The image is segmented into multiple regions including hairline region, facial feature region, and background region. Different processing strategies are applied to each region: the hairline region undergoes neural network-based adjustment while other regions are preserved from the original image to maintain consistency.
Solution Approach 2:
Different quality requirements are applied to different parts of the image. The hairline region receives enhanced processing quality through neural network adjustment, while other regions maintain their original quality to ensure overall consistency. This local differentiation resolves the contradiction between localized improvement and global consistency.
2Manufacturing precision
If the target region image is fused with the original image to generate the target original image, then the display effect is improved, but the complexity of the processing method increases
Solution Approach 1:
The processing method is segmented into distinct modules: region segmentation module, target region identification module, image adjustment module, and fusion module. Each module performs a specific function, making the overall complex process more manageable and implementable through standardized operations.
Solution Approach 2:
A mask image is introduced as an intermediary element to facilitate the fusion process. The mask image selectively identifies regions that need to be adjusted and guides the fusion operation, simplifying the complexity of directly fusing multiple image regions while maintaining precision.
3Measurement precision
If region segmentation processing is performed on the reference original image and the original image to be processed, then the target region information determination is improved, but the processing time increases
Solution Approach 1:
Region segmentation is performed as a preliminary action before the main adjustment and fusion processes. By pre-identifying and segmenting regions of interest, the subsequent processing steps can focus only on relevant areas, reducing overall processing time while maintaining high accuracy in target region identification.
Solution Approach 2:
Instead of performing exhaustive segmentation on the entire image with maximum detail, the method applies segmentation selectively to regions that will benefit from adjustment (hairline, facial features, background). This partial action approach achieves sufficient precision for the task while significantly reducing processing time compared to full-image exhaustive segmentation.
Data Source
AI summary
Provided in the present disclosure are an image processing method and apparatus, a computer device and a storage medium. The method comprises: acquiring an original image to be processed; adjusting the original image to be processed to generate a reference original image; determining target region information in the reference original image; and fusing a target region image in the reference original image that matches the target region information, with the original image to be processed, to generate a target original image.