Patents by Inventor Dhevendra A. Palanivel

Dhevendra A. Palanivel 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).

  • Inverse halftoning using inverse projection of predicted errors for multi-bit images
    Patent number: 9521296
    Abstract: In systems and methods, an original image was previously converted to a lower bit count per pixel. The resulting image included pixel error based on the lower bit count per pixel. The conversion used an error weighting matrix (which diffuses the pixel error of each pixel to adjacent pixels). Methods and systems produce an output image from the lower bit count per pixel image using the error weighting matrix to determine, for each pixel, the amount of error added because of the adjacent pixels during the conversion process. Then, such methods and systems remove, from each pixel, the amount of error that was previously added based on the adjacent pixels. After removing the amount of error added based on the adjacent pixels from all pixels in the input image, an output image is reconstructed using a filter, such as a low pass filter.
    Type: Grant
    Filed: August 27, 2014
    Date of Patent: December 13, 2016
    Assignee: Xerox Corporation
    Inventors: Dhevendra A. Palanivel, Sunil Kumar, Sainarayanan Gopalakrishnan, Xing Li
  • INVERSE HALFTONING USING INVERSE PROJECTION OF PREDICTED ERRORS FOR MULTI-BIT IMAGES
    Publication number: 20160065786
    Abstract: In systems and methods, an original image was previously converted to a lower bit count per pixel. The resulting image included pixel error based on the lower bit count per pixel. The conversion used an error weighting matrix (which diffuses the pixel error of each pixel to adjacent pixels). Methods and systems produce an output image from the lower bit count per pixel image using the error weighting matrix to determine, for each pixel, the amount of error added because of the adjacent pixels during the conversion process. Then, such methods and systems remove, from each pixel, the amount of error that was previously added based on the adjacent pixels. After removing the amount of error added based on the adjacent pixels from all pixels in the input image, an output image is reconstructed using a filter, such as a low pass filter.
    Type: Application
    Filed: August 27, 2014
    Publication date: March 3, 2016
    Inventors: Dhevendra A. Palanivel, Sunil Kumar, Sainarayanan Gopalakrishnan, Xing Li