Patents by Inventor Vijayan Asari

Vijayan Asari 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).

  • Patent number: 8649631
    Abstract: Disclosed is a distortion invariant system, method and computer readable medium for detecting the presence of one or more predefined targets in an input image. The input image and a synthetic discriminant function (SDF) reference image are correlated in a shift phase-encoded fringe-adjusted joint transform correlation (SPFJTC) correlator yielding a correlation output. A peak-to-clutter ratio (PCR) is determined for the correlation output and compared to a threshold value. A predefined target is present in the input image when the PCR is greater than or equal to the threshold value.
    Type: Grant
    Filed: February 4, 2013
    Date of Patent: February 11, 2014
    Assignee: Old Dominion University Research Foundation
    Inventors: Mohammed Nazrul Islam, K. Vijayan Asari, Mohammad A. Karim
  • Publication number: 20130148915
    Abstract: Disclosed is a distortion invariant system, method and computer readable medium for detecting the presence of one or more predefined targets in an input image. The input image and a synthetic discriminant function (SDF) reference image are correlated in a shift phase-encoded fringe-adjusted joint transform correlation (SPFJTC) correlator yielding a correlation output. A peak-to-clutter ratio (PCR) is determined for the correlation output and compared to a threshold value. A predefined target is present in the input image when the PCR is greater than or equal to the threshold value.
    Type: Application
    Filed: February 4, 2013
    Publication date: June 13, 2013
    Inventors: Mohammed Nazrul Islam, K. Vijayan Asari, Mohammad A. Karim
  • Publication number: 20130142424
    Abstract: Disclosed is a distortion invariant system, method and computer readable medium for detecting the presence of one or more predefined targets in an input image. The input image and a synthetic discriminant function (SDF) reference image are correlated in a shift phase-encoded fringe-adjusted joint transform correlation (SPFJTC) correlator yielding a correlation output. A peak-to-clutter ratio (PCR) is determined for the correlation output and compared to a threshold value. A predefined target is present in the input image when the PCR is greater than or equal to the threshold value.
    Type: Application
    Filed: February 4, 2013
    Publication date: June 6, 2013
    Inventors: Mohammed Nazrul Islam, K. Vijayan Asari, Mohammad A. Karim
  • Patent number: 8401332
    Abstract: Disclosed is a distortion invariant system, method and computer readable medium for detecting the presence of one or more predefined targets in an input image. The input image and a synthetic discriminant function (SDF) reference image are correlated in a shift phase-encoded fringe-adjusted joint transform correlation (SPFJTC) correlator yielding a correlation output. A peak-to-clutter ratio (PCR) is determined for the correlation output and compared to a threshold value. A predefined target is present in the input image when the PCR is greater than or equal to the threshold value.
    Type: Grant
    Filed: April 23, 2009
    Date of Patent: March 19, 2013
    Assignee: Old Dominion University Research Foundation
    Inventors: Mohammed Nazrul Islam, K. Vijayan Asari, Mohammad A. Karim
  • Publication number: 20090297021
    Abstract: Disclosed is a distortion invariant system, method and computer readable medium for detecting the presence of one or more predefined targets in an input image. The input image and a synthetic discriminant function (SDF) reference image are correlated in a shift phase-encoded fringe-adjusted joint transform correlation (SPFJTC) correlator yielding a correlation output. A peak-to-clutter ratio (PCR) is determined for the correlation output and compared to a threshold value. A predefined target is present in the input image when the PCR is greater than or equal to the threshold value.
    Type: Application
    Filed: April 23, 2009
    Publication date: December 3, 2009
    Inventors: Mohammed Nazrul Islam, K. Vijayan Asari, Mohammad A. Karim
  • Publication number: 20050163392
    Abstract: A method of characterizing and enhancing the pixels in an image, which is captured at all lighting conditions. The method enable dynamically enhancement of images captured at extremely low lighting conditions. Each pixel of the image, represented by I SUB (x, y) where x is the horizontal axis coordinate value and y is the vertical axis coordinate value, contains three color-components. Each pixel is characterized by defining a relationship between the three color-components of that pixel in its initial state. A nonlinear expansion function, which adaptively adjusts the expansion rate with respect to the statistical property of the original image, is used for enhancing the brightness of the image so that the poorly lighted pixels are enhanced in intensity more as compared to the amount of enhancement for the brighter pixels. The color property of each pixel in the enhanced image is then restored using the characteristic features previously defined by the relationship of the color components.
    Type: Application
    Filed: January 21, 2005
    Publication date: July 28, 2005
    Inventors: Vijayan Asari, Ming-Jung Seow
  • Publication number: 20050163393
    Abstract: A new image enhancement process based on an integrated neighborhood dependent nonlinear approach for color images captured in various environments such extremely low lighting, fog or underwater. The new process is a combination of two independent processes: luminance enhancement and contrast enhancement. The luminance enhancement, also regarded as a process of dynamic range compression, is essentially an intensity transformation based on a specifically designed nonlinear transfer function, which can largely increase the luminance for dark regions of the image but only slightly change the luminance for the bright regions of the image. The contrast enhancement transforms each pixel's intensity based on the relationship between the pixel and its surrounding pixels. The output of the contrast enhancement is a power function of the luminance of the input image.
    Type: Application
    Filed: January 24, 2005
    Publication date: July 28, 2005
    Inventor: Vijayan Asari