Target Object Image Processing Model for Video Restoration
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Solution Overview
Problem
Current image restoration and processing methods are time-consuming and inefficient, especially for large volumes of images in videos or movies, and often fail to effectively enhance specific objects within images due to processing the entire image directly.
Innovation Solution
An image processing method using a generative adversarial network model that extracts and enhances specific target object images, training the model with low-resolution images and determining complete training based on feature point and specified region difference information, resulting in higher resolution outputs and improved image fusion for clearer and more realistic details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the entire image is processed directly as a whole, then the processing can be performed on the complete image, but the processing effect on specific objects in the image is not good and the processing time is long
Solution Approach 1:
The patent divides the image processing task into two stages: first extracting the target object from the complete image, then processing only the extracted target object image. This segmentation allows the system to focus computational resources on the specific object of interest rather than processing the entire image, thereby improving processing effectiveness while reducing processing time.
Solution Approach 2:
The patent extracts the target object image from the complete image before processing. By taking out only the relevant portion (the target object) and processing that separately, the system achieves better processing results for the specific object while avoiding the time consumption of processing the entire image.
2Reliability
If manual processing is used, then the processing can be performed with current technology, but the processing is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual processing with an automated image processing system that uses image extraction and target object image processing models. This substitution of mechanical (manual) operations with automated computational processes maintains processing quality while significantly improving processing efficiency and reducing labor intensity.
3Manufacturing precision
If the entire image is processed, then the complete image can be restored, but the processing effect on specific objects is not good
Solution Approach 1:
The patent segments the image processing into extraction and processing stages. By first extracting the target object and then applying processing models specifically to the extracted object, the system achieves more accurate restoration for the specific object of interest without the complexity of processing the entire image.
Data Source
AI summary
The present disclosure relates to an image processing method and apparatus, a model training method and apparatus, a medium, and a device. The image processing method extracts a first target object image from an image to be processed; inputs the first target object image into a target object image processing model to obtain a second target object image output by the target object image processing model; and performs image fusion according to the second target object image and the image to be processed, so as to obtain a target image.