George L John

US Patent:

20060103892, May 18, 2006

Filed:

Nov 18, 2004

Appl. No.:

10/992409

Inventors:

Mark Schulze - Austin TX, US
George John - Austin TX, US

International Classification:

H04N 1/38

US Classification:

358463000

Abstract:

Reduction of noise in digitized multi-spectral images is provided by filtering based on vector values rather than independent scalar values. Vector values refer to a pixel with two or more values. For this method, a metric is defined for pixel vector magnitude. A sliding processing kernel is also defined, with a specified shape, a specified number of pixels to be included in the kernel, and a specified value contrast threshold to avoid distorting edges and fine details. The metric and kernel are used to select pixels for computing filtering of the center pixel in a kernel. A statistical measurement is computed, for example by mean averaging the specified pixels, and the resulting value is made the value of the center pixel of the kernel. The filtering process is applied throughout the image by making each pixel the center of a processing kernel.

US Patent:

20060104507, May 18, 2006

Filed:

Feb 18, 2005

Appl. No.:

11/060970

Inventors:

George John - Austin TX, US

International Classification:

G06K 9/00

US Classification:

382167000

Abstract:

Provided is a computer system and method for processing images. A method for applying a color bias correction for an image includes but is not limited to, separating high frequency data from low frequency data of the image; using the high frequency data to determine one or more local minima; applying a function of the local minima to determine a black level; using the high frequency data to determine one or more local maxima; applying a function of the local maxima to determine a white level; and correcting the color bias of the image by linearly interpolating the image between one or more values associated with the white level and one or more values associated with the black level.

US Patent:

20060114479, Jun 1, 2006

Filed:

Feb 18, 2005

Appl. No.:

11/060969

Inventors:

George John - Austin TX, US

International Classification:

G06K 15/02

US Classification:

358001200

Abstract:

Provided is a computer system and method for processing images. The method includes operating on the one or more images at a first resolution size, the operating providing a low frequency component and a high frequency component of the one or more images, downsizing the low frequency component of the one or more images to at least a second resolution size, enhancing the downsized one or more images, upsizing the enhanced one or more images to the first resolution size, and combining the upsized and enhanced one or more images with the one or more image at the first resolution size with the high frequency component of the one or more images.

US Patent:

20060182364, Aug 17, 2006

Filed:

Feb 16, 2005

Appl. No.:

11/059009

Inventors:

George John - Austin TX, US

International Classification:

G06K 9/40

US Classification:

382260000

Abstract:

Sharpening multi-spectral digital images without increasing noise is accomplished by filtering vector values rather than independent scalar values. A low-pass filter is performed on image A to obtain a blurred image Bwith noise and signal suppressed. The resulting blurred image Bis subtracted from the original image A to produce a high frequency band Cthat contains noise and signal. Vector difference mean filtering is performed on the original image A to produce a filtered image Bwith noise suppressed. The filtered image Bis subtracted from the original image A to produce a noise band Cthat contains noise with very little signal. The noise band Cis subtracted from the high frequency band Cto produce a signal band D that contains the signal. The signal band D is then added to the filtered image Bto further enhance detail in the noise filtered band.