Patents by Inventor Terence Mong Cheng Sim

Terence Mong Cheng Sim 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).

  • Enhancing photograph visual quality using texture and contrast data from near infra-red images
    Patent number: 8503778
    Abstract: Near infra-red images of natural scenes usually have better contrast and contain rich texture details that may not be perceived in visible light photographs. The contrast and rich texture details form a NIR image corresponding to a visible light image are useful for enhancing the visual quality of the visible light image. To enhance the visual quality of a visible light image using its corresponding near infra-red image, a computer-implemented method computes a weight region mask from the visible light image, transfers contrast data and texture data from the near infra-red image to the visible light image guided by the weighted region mask. The contrast data is computed from the low frequency subbands of the visible light image and corresponding infra-red image after a wavelet transform by matching the histogram of gradient magnitude. The texture data is computed from the high frequency subbands of both images after wavelet transform.
    Type: Grant
    Filed: May 13, 2010
    Date of Patent: August 6, 2013
    Assignee: National University of Singapore
    Inventors: Terence Mong Cheng Sim, Xiaopeng Zhang
  • Enhancing Photograph Visual Quality Using Texture and Contrast Data From Near Infra-red Images
    Publication number: 20100290703
    Abstract: Near infra-red images of natural scenes usually have better contrast and contain rich texture details that may not be perceived in visible light photographs. The contrast and rich texture details form a NIR image corresponding to a visible light image are useful for enhancing the visual quality of the visible light image. To enhance the visual quality of a visible light image using its corresponding near infra-red image, a computer-implemented method computes a weight region mask from the visible light image, transfers contrast data and texture data from the near infra-red image to the visible light image guided by the weighted region mask. The contrast data is computed from the low frequency subbands of the visible light image and corresponding infra-red image after a wavelet transform by matching the histogram of gradient magnitude. The texture data is computed from the high frequency subbands of both images after wavelet transform.
    Type: Application
    Filed: May 13, 2010
    Publication date: November 18, 2010
    Applicant: NATIONAL UNIVERSITY OF SINGAPORE
    Inventors: Terence Mong Cheng Sim, Xiaopeng Zhang