Patents by Inventor Ravi Sankar Dakka

Ravi Sankar Dakka 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: 9594955
    Abstract: Disclosed herein is a method and system for performing adaptive local contrast enhancement for an image by using a linear complexity algorithm for Wallis filter. For an input image, the standard deviation and mean are computed for the first pixel in the image. The computed standard deviation and mean of the first pixel are re-used to calculate the standard deviation and mean for the nearest pixels. So, the standard deviation and mean for each pixel in the image are based on the computed standard deviation and mean of at least one other pixel in the image.
    Type: Grant
    Filed: May 8, 2014
    Date of Patent: March 14, 2017
    Assignee: ROLTA INDIA LTD
    Inventors: Ravi Sankar Dakka, Ravindra N Kondekar, Laxmidhar V Gaopande
  • Patent number: 9378417
    Abstract: Disclosed herein is a method and system for performing normalization of an image using a cumulative histogram and a common color map for the R, G and B channels. On receiving an instruction from a user to normalize an image, the histogram for individual channels of the image is computed. The cumulative histogram from the histogram for individual channels is computed. The linear histogram cut off percentage is tripled. The min and max positions using the histogram stretch after the percentage cutoff is adjusted. The colormap is computed using the cumulative histogram and the linear histogram cut off percentage. The colormap is applied to the image data.
    Type: Grant
    Filed: May 30, 2014
    Date of Patent: June 28, 2016
    Inventors: Ravi Sankar Dakka, Ravindra N Kondekar, Laxmidhar V Gaopande, Saroja Uppu
  • Publication number: 20150347838
    Abstract: Disclosed herein is a method and system for performing normalization of an image using a cumulative histogram and a common color map for the R, G and B channels. On receiving an instruction from a user to normalize an image, the histogram for individual channels of the image is computed. The cumulative histogram from the histogram for individual channels is computed. The linear histogram cut off percentage is tripled. The min and max positions using the histogram stretch after the percentage cutoff is adjusted. The colormap is computed using the cumulative histogram and the linear histogram cut off percentage. The colormap is applied to the image data.
    Type: Application
    Filed: May 30, 2014
    Publication date: December 3, 2015
    Applicant: Rolta India Ltd
    Inventors: Ravi Sankar Dakka, Ravindra N. Kondekar, Laxmidhar V. Gaopande, Saroja Uppu
  • Publication number: 20150324641
    Abstract: Disclosed herein is a method and system for performing adaptive local contrast enhancement for an image by using a linear complexity algorithm for Wallis filter. For an input image, the standard deviation and mean are computed for the first pixel in the image. The computed standard deviation and mean of the first pixel are re-used to calculate the standard deviation and mean for the nearest pixels. So, the standard deviation and mean for each pixel in the image are based on the computed standard deviation and mean of at least one other pixel in the image.
    Type: Application
    Filed: May 8, 2014
    Publication date: November 12, 2015
    Applicant: Rolta India Ltd
    Inventors: Ravi Sankar Dakka, Ravindra N. Kondekar, Laxmidhar V. Gaopande