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Ihtisham Kabir Phones & Addresses

  • Bethesda, MD
  • Coral Springs, FL
  • Langhorne, PA
  • 4715 Andrea Way, Union City, CA 94587 (510) 429-8935
  • 290 Stratford Pl, Los Altos, CA 94022 (650) 949-3953
  • Cadiz, CA
  • Sunnyvale, CA
  • Santa Clara, CA
  • Fort Pierce, FL

Publications

Isbn (Books And Publications)

High Performance Computer Imaging

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Author

Ihtisham Kabir

ISBN #

0132683016

Us Patents

High-Performance Band Combine Function

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US Patent:
6538657, Mar 25, 2003
Filed:
May 23, 2000
Appl. No.:
09/577229
Inventors:
Ihtisham Kabir - Union City CA
Raymond Roth - Sunnyvale CA
Jaijiv Prabhakaran - Sunnyvale CA
Assignee:
Sun Microsystems, Inc. - Santa Clara CA
International Classification:
G09G 537
US Classification:
345561, 345559
Abstract:
A high-performance band combine function to transform a source image of n bands to a destination image of m bands. A source image vector is multiplied with a transformation matrix having n+1 columns and m rows. The values in the transformation matrix may be user-selected. The product of the source image and the transformation matrix is a destination image vector. The destination image vector may be displayed on a computer monitor. To perform the function in a digital system, the pixels of the source image are converted to a partitioned format. The source image is multiplied with the transformation matrix values using partitioned arithmetic. In the digital system, a plurality of partitioned arithmetic operations may be performed in parallel.

Accelerated Collaboration Of High Frame Rate Applications

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US Patent:
20030191860, Oct 9, 2003
Filed:
Apr 5, 2002
Appl. No.:
10/117703
Inventors:
Krishna Gadepalli - Fremont CA, US
Ihtisham Kabir - Los Altos CA, US
Aastha Bhardwaj - Fremont CA, US
Peter Farkas - Santa Cruz CA, US
Paul Ramsey - Tucson AZ, US
International Classification:
G06F015/16
US Classification:
709/247000, 709/219000, 709/203000
Abstract:
An application sharing and collaboration (ASC) system comprising a first computer, where the first computer is configured to execute a graphics application. The graphics application is configured to: (a) call a set of OpenGL rendering functions to render an image into a local buffer, and (b) call a particular OpenGL function which has been modified to induce compression of the image from the local buffer and transfer of the compressed image to a set of one or more remote systems. Each of the one or more remote systems may be configured to: decompress the compressed image, and display the decompressed image.

High-Performance Band Combine Function

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US Patent:
59331607, Aug 3, 1999
Filed:
Nov 27, 1995
Appl. No.:
8/563059
Inventors:
Ihtisham Kabir - Union City CA
Raymond Roth - Sunnyvale CA
Jaijiv Prabhakaran - Sunnyvale CA
Assignee:
Sun Microsystems - Mountian View CA
International Classification:
G06F 1300
US Classification:
345524
Abstract:
A high-performance band combine function to transform a source image of n bands to a destination image of m bands. A source image vector is multiplied with a transformation matrix having n+1 columns and m rows. The values in the transformation matrix may be user-selected. The product of the source image and the transformation matrix is a destination image vector. The destination image vector may be displayed on a computer monitor. To perform the function in a digital system, the pixels of the source image are converted to a partitioned format. The source image is multiplied with the transformation matrix values using partitioned arithmetic. In the digital system, a plurality of partitioned arithmetic operations may be performed in parallel.

High-Performance Band Combine Function

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US Patent:
60670991, May 23, 2000
Filed:
Apr 9, 1999
Appl. No.:
9/289783
Inventors:
Ihtisham Kabir - Union City CA
Raymond Roth - Sunnyvale CA
Jaijiv Prabhakaran - Sunnyvale CA
Assignee:
Sun Microsystems - Palo Alto CA
International Classification:
G06F 1300
US Classification:
345524
Abstract:
A high-performance band combine function to transform a source image of n bands to a destination image of m bands. A source image vector is multiplied with a transformation matrix having n+l columns and m rows. The values in the transformation matrix may be user-selected. The product of the source image and the transformation matrix is a destination image vector. The destination image vector may be displayed on a computer monitor. To perform the function in a digital system, the pixels of the source image are converted to a partitioned format. The source image is multiplied with the transformation matrix values using partitioned arithmetic. In the digital system, a plurality of partitioned arithmetic operations may be performed in parallel.
Ihtisham Sonia B Kabir from Bethesda, MD, age ~64 Get Report