Boe technology group co., ltd. (20240202983). COMPUTER-IMPLEMENTED METHOD, APPARATUS, AND COMPUTER-PROGRAM PRODUCT simplified abstract

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COMPUTER-IMPLEMENTED METHOD, APPARATUS, AND COMPUTER-PROGRAM PRODUCT

Organization Name

boe technology group co., ltd.

Inventor(s)

Dan Zhu of Beijing (CN)

Guannan Chen of Beijing (CN)

Hanwen Liu of Beijing (CN)

COMPUTER-IMPLEMENTED METHOD, APPARATUS, AND COMPUTER-PROGRAM PRODUCT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240202983 titled 'COMPUTER-IMPLEMENTED METHOD, APPARATUS, AND COMPUTER-PROGRAM PRODUCT

The abstract of the patent application describes a computer-implemented method that involves inputting a low-resolution image and multiple high-resolution images into a feature extractor, obtaining feature maps, comparing similarities, selecting feature maps, generating a repair image, enhancing the low-resolution image, and morphing the repair image with the enhanced image.

  • Input low-resolution and high-resolution images into a feature extractor.
  • Obtain feature maps of the images.
  • Compare similarities between the feature maps.
  • Select feature maps of high-resolution images most similar to the low-resolution image.
  • Input selected feature maps into a generator to output a repair image.
  • Enhance the low-resolution image using a pre-processing image enhancing process.
  • Morph the repair image with the enhanced image.

Potential Applications: - Image enhancement in photography and graphic design. - Medical imaging for improving resolution and clarity. - Forensic analysis for enhancing details in images. - Satellite imaging for better quality and accuracy. - Video processing for enhancing frames and scenes.

Problems Solved: - Enhancing low-resolution images to match high-resolution quality. - Improving image clarity and details. - Providing a method for image repair and enhancement. - Enhancing the visual quality of images for various applications. - Automating the process of image enhancement.

Benefits: - Improved image quality and resolution. - Enhanced details and clarity in images. - Time-saving and efficient image repair process. - Automated image enhancement for various industries. - Enhanced visual experience for users.

Commercial Applications: Title: "Advanced Image Enhancement Technology for Various Industries" This technology can be used in photography studios, medical imaging centers, forensic labs, satellite imaging companies, and video production studios. It can revolutionize the way images are processed and enhanced, leading to better quality and accuracy in various applications.

Questions about Image Enhancement Technology: 1. How does this technology compare to traditional image enhancement methods? - This technology utilizes advanced algorithms and machine learning to enhance images, providing more accurate and efficient results compared to traditional methods. 2. What are the potential limitations of this technology in terms of image enhancement? - The technology may have limitations in enhancing extremely low-quality images or images with severe distortions that may require manual intervention for improvement.


Original Abstract Submitted

a computer-implemented method is provided. the computer-implemented method includes inputting a low-resolution image and a plurality of high-resolution images into a feature extractor, the low-resolution image and the plurality of high-resolution images including images of a target object; obtaining, by the feature extractor, feature maps of the low-resolution image and the plurality of high-resolution images; comparing similarities between the feature maps of the low-resolution image and the plurality of high-resolution images; obtaining selected feature maps of one or more selected high-resolution images of the plurality of high-resolution images most similar to the low-resolution image; inputting the selected feature maps into a generator to output a repair image; enhancing the low-resolution image using a pre-processing image enhancing process to generate an enhanced image; and morphing the repair image with the enhanced image.