18151588. IMAGE FRAME SUPER-RESOLUTION IMPLEMENTATION METHOD AND APPARATUS simplified abstract (Huawei Technologies Co., Ltd.)
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IMAGE FRAME SUPER-RESOLUTION IMPLEMENTATION METHOD AND APPARATUS
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IMAGE FRAME SUPER-RESOLUTION IMPLEMENTATION METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18151588 titled 'IMAGE FRAME SUPER-RESOLUTION IMPLEMENTATION METHOD AND APPARATUS
Simplified Explanation
The patent application describes an application that enhances the resolution of image frames in videos using a super-resolution method and apparatus. Here are the key points:
- The application obtains super-resolution reference information, including a quantization parameter and an image quality score set.
- The image quality score set consists of image quality scores for multiple image frames.
- M image frames are selected from the available frames based on the image quality score set, where M is equal to or greater than 1.
- A video super-resolution network is obtained, which corresponds to the quantization parameter and has a super-resolution function.
- The M selected image frames and a first image frame are inputted into the video super-resolution network.
- The video super-resolution network processes the first image frame using the M image frames to generate a second image frame.
- The resolution of the second image frame is higher than the resolution of the first image frame.
Potential applications of this technology:
- Video enhancement: This technology can be used to improve the resolution of video frames, resulting in clearer and more detailed visuals.
- Surveillance systems: It can enhance the quality of surveillance footage, making it easier to identify objects and individuals.
- Medical imaging: The super-resolution method can be applied to medical imaging videos, aiding in the diagnosis and analysis of medical conditions.
Problems solved by this technology:
- Low-resolution videos: The application addresses the issue of low-resolution videos by enhancing the resolution of individual frames.
- Image quality degradation: It helps to mitigate the loss of image quality that may occur during video compression or transmission.
Benefits of this technology:
- Improved visual quality: By increasing the resolution of video frames, the technology enhances the overall visual experience.
- Enhanced analysis: Higher resolution frames enable better analysis of video content, leading to improved decision-making in various fields.
- Efficient processing: The method optimizes the selection of frames and utilizes a video super-resolution network to efficiently process and enhance the video frames.
Original Abstract Submitted
This application provides an image frame super-resolution implementation method and apparatus, the method includes: obtaining super-resolution reference information including a quantization parameter and an image quality score set, and the image quality score set includes image quality scores of a plurality of image frames; selecting M image frames from the plurality of image frames based on the image quality score set, where M is greater than or equal to 1; obtaining a video super-resolution network corresponding to the quantization parameter, where the video super-resolution network has a super-resolution function; and inputting the M image frames and a first image frame into the video super-resolution network, where the video super-resolution network is configured to perform super-resolution processing on the first image frame based on the M image frames to obtain a second image frame, and resolution of the second image frame is higher than resolution of the first image frame.
