Patents by Inventor De-Qin Gao

De-Qin Gao has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Image dehazing method and image dehazing apparatus using the same
    Patent number: 11528435
    Abstract: The disclosure is directed to an image dehazing method and an image dehazing apparatus using the same method. In an aspect, the disclosure is directed to an image dehazing method, and the method would include not limited to: receiving an input image; dehazing the image by a dehazing module to output a dehazed RGB image; recovering image brightness of the dehazed RGB image by a high dynamic range (HDR) module to output an HDR image; and removing reflection of the HDR image by a ReflectNet inference model, wherein the ReflectNet inference model uses a deep learning architecture.
    Type: Grant
    Filed: December 25, 2020
    Date of Patent: December 13, 2022
    Assignee: Industrial Technology Research Institute
    Inventors: Peter Chondro, De-Qin Gao
  • Image recognition method for detection tasks based on single convolutional neural network and image recognition system thereof
    Patent number: 11507776
    Abstract: An image recognition method, including: obtaining an image to be recognized by an image sensor; inputting the image to be recognized to a single convolutional neural network; obtaining a first feature map of a first detection task and a second feature map of a second detection task according to an output result of the single convolutional neural network, wherein the first feature map and the second feature map have a shared feature; using an end-layer network module to generate a first recognition result corresponding to the first detection task from the image to be recognized according to the first feature map, and to generate a second recognition result corresponding to the second detection task from the image to be recognized according to the second feature map; and outputting the first recognition result corresponding to the first detection task and the second recognition result corresponding to the second detection task.
    Type: Grant
    Filed: November 18, 2020
    Date of Patent: November 22, 2022
    Assignee: Industrial Technology Research Institute
    Inventors: De-Qin Gao, Peter Chondro, Mei-En Shao, Shanq-Jang Ruan
  • IMAGE DEHAZING METHOD AND IMAGE DEHAZING APPARATUS USING THE SAME
    Publication number: 20220210350
    Abstract: The disclosure is directed to an image dehazing method and an image dehazing apparatus using the same method. In an aspect, the disclosure is directed to an image dehazing method, and the method would include not limited to: receiving an input image; dehazing the image by a dehazing module to output a dehazed RGB image; recovering image brightness of the dehazed RGB image by a high dynamic range (HDR) module to output an HDR image; and removing reflection of the HDR image by a ReflectNet inference model, wherein the ReflectNet inference model uses a deep learning architecture.
    Type: Application
    Filed: December 25, 2020
    Publication date: June 30, 2022
    Applicant: Industrial Technology Research Institute
    Inventors: Peter Chondro, De-Qin Gao
  • IMAGE RECOGNITION METHOD AND IMAGE RECOGNITION SYSTEM
    Publication number: 20220114383
    Abstract: An image recognition method, including: obtaining an image to be recognized by an image sensor; inputting the image to be recognized to a single convolutional neural network; obtaining a first feature map of a first detection task and a second feature map of a second detection task according to an output result of the single convolutional neural network, wherein the first feature map and the second feature map have a shared feature; using an end-layer network module to generate a first recognition result corresponding to the first detection task from the image to be recognized according to the first feature map, and to generate a second recognition result corresponding to the second detection task from the image to be recognized according to the second feature map; and outputting the first recognition result corresponding to the first detection task and the second recognition result corresponding to the second detection task.
    Type: Application
    Filed: November 18, 2020
    Publication date: April 14, 2022
    Applicant: Industrial Technology Research Institute
    Inventors: De-Qin Gao, Peter Chondro, Mei-En Shao, Shanq-Jang Ruan