Stephen J Nash

US Patent:

7697073, Apr 13, 2010

Filed:

Dec 6, 2005

Appl. No.:

11/294797

Inventors:

Stephen R. Nash - Playa Del Rey CA, US
Christopher A. Leddy - Huntington Beach CA, US
Eric P. Lam - Diamond Bar CA, US

Assignee:

Raytheon Company - Waltham MA

International Classification:

H04N 5/21
H04N 1/409

US Classification:

348607, 348701, 348620, 348715, 348448, 348458, 382275

Abstract:

An image processing system and method. The image processing system acquires a first set of scan lines in at first field of image data and a second set of scan lines in a second field of image data; the second set of scan lines are interlaced relative to the first set of scan lines and performs a line by line correlation therebetween to provide an error signal or value. The first and second fields are buffered and coupled to a line-to-line correlator. The error signal is used to adjust either the first or the second set of scan lines to correct for skew or blur in the second field of image data.

US Patent:

20150097975, Apr 9, 2015

Filed:

Oct 8, 2013

Appl. No.:

14/048898

Inventors:

Stephen R. Nash - Los Angeles CA, US
Christopher A. Leddy - Huntington Beach CA, US
Hoang K. Do - Fountain Valley CA, US

Assignee:

RAYTHEON COMPANY - Waltham MA

International Classification:

H04N 5/217
G06T 5/00

US Classification:

3482081

Abstract:

A method for integrating image frames includes receiving for each pixel in at least one image frame a value representative of a sensor measurement. The method includes calculating an average difference of the value representative of the sensor measurement over a subset of the plurality of image frames. The method includes detecting motion in at least one pixel of the image frame in the plurality of image frames based on the calculated average difference of the value representative of the sensor measurement over the subset of the plurality of image frames. The method also includes generating an integrated image frame wherein each pixel having detected motion is integrated by an amount less than that of those pixels for which motion is not detected. The amount of frame integration is based on contrast levels, expected rates of motion, and noise characteristics of sensor input image data.