Balu S Santhanam

US Patent:

8184927, May 22, 2012

Filed:

Mar 18, 2009

Appl. No.:

12/406730

Inventors:

Ousseini Lankoande - Westfield MA, US
Majeed M. Hayat - Albuquerque NM, US
Balu Santhanam - Albuquerque NM, US

Assignee:

STC.UNM - Albuquerque NM

International Classification:

G06K 9/40

US Classification:

382275, 382260, 382274

Abstract:

The present invention includes methods for the reduction of speckle noise in an image and methods for segmenting an image. Each of the methods disclosed herein includes steps for analyzing the uniformity of a pixel within a plurality of pixels forming a portion of the image and, based on the uniformity of the intensity of the plurality of pixels, adjusting and/or replacing the pixel in order to produce a speckle-noise reduced image, a segmented image, or a segmented and speckle-noise reduced image. The methods of the present invention can employ for example conditional probability density functions, nonlinear estimator functions, convex energy functions and simulated annealing algorithms in the performance of their respective steps.

US Patent:

8208724, Jun 26, 2012

Filed:

May 27, 2011

Appl. No.:

13/118165

Inventors:

Ousseini Lankoande - Westfield MA, US
Majeed M. Hayat - Albuquerque NM, US
Balu Santhanam - Albuquerque NM, US

Assignee:

STC.UNM - Albuquerque NM

International Classification:

G06K 9/34
G06K 9/62

US Classification:

382173, 382224

Abstract:

The present invention includes methods for the reduction of speckle noise in an image and methods for segmenting an image. Each of the methods disclosed herein includes steps for analyzing the uniformity of a pixel within a plurality of pixels forming a portion of the image and, based on the uniformity of the intensity of the plurality of pixels, adjusting and/or replacing the pixel in order to produce a speckle-noise reduced image, a segmented image, or a segmented and speckle-noise reduced image. The methods of the present invention can employ for example conditional probability density functions, nonlinear estimator functions, convex energy functions and simulated annealing algorithms in the performance of their respective steps.

US Patent:

20080025619, Jan 31, 2008

Filed:

Jul 31, 2007

Appl. No.:

11/831353

Inventors:

Ousseini Lankoande - Westfield MA, US
Majeed Hayat - Albuquerque NM, US
Balu Santhanam - Albuquerque NM, US

Assignee:

REGENTS OF THE UNIVERSITY OF NEW MEXICO - ALBUQUERQUE NM

International Classification:

G06K 9/36

US Classification:

382232, 382260

Abstract:

The present invention includes methods for the reduction of speckle noise in an image and methods for segmenting an image. Each of the methods disclosed herein includes steps for analyzing the uniformity of a pixel within a plurality of pixels forming a portion of the image and, based on the uniformity of the intensity of the plurality of pixels, adjusting and/or replacing the pixel in order to produce a speckle-noise reduced image, a segmented image, or a segmented and speckle-noise reduced image. The methods of the present invention can employ for example conditional probability density functions, nonlinear estimator functions, convex energy functions and simulated annealing algorithms in the performance of their respective steps.