Jeffrey Todd Perry

US Patent:

20130202199, Aug 8, 2013

Filed:

Aug 9, 2011

Appl. No.:

13/816189

Inventors:

Wilson S. Geisler - Austin TX, US
Jeffrey S. Perry - Austin TX, US

Assignee:

BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM - Austin TX

International Classification:

G06K 9/66

US Classification:

382159

Abstract:

A method, system and computer program product for improving accuracy and computation efficiency in interpolation, upsampling and color channel estimation. A Bayesian estimator used to estimate the value of a pixel in an image is constructed using measurements of high-order (e.g., 3rd, 4th, 5th) statics for nearby points in natural images. These measurements reveal highly systematic statistical regularities that were ignored from the prior algorithms due to their restrictive measurements and assumptions. As a result, the accuracy in interpolation, upsampling and color channel prediction is improved. Furthermore, the process for constructing a Bayesian estimator is simpler and more direct by storing in a table the mean value of the pixel value to be estimated for each combination of values of nearby points in training samples. As a result of having a simpler and more direct approach than existing methods, the computational efficiency is improved.

US Patent:

54505704, Sep 12, 1995

Filed:

Nov 24, 1993

Appl. No.:

8/158147

Inventors:

Martin D. Richek - Houston TX
Robert S. Gready - Spring TX
Curtis R. Jones - Cypress TX
Jeffrey S. Perry - Houston TX

Assignee:

Compaq Computer Corp. - Houston TX

International Classification:

G06F 1300

US Classification:

395500

Abstract:

An method and apparatus for determining and selecting configuration options and settings of circuit boards used in a computer system. The options and settings are placed in a file according to a given format, at which time the system determines if non-conflicting use of the common system resources is possible. The method and apparatus also provide for definable linking resources which further define relationships between various boards within a computer system and the allocation of common computer resources to the circuit boards. The method also decreases the time required for the computer to resolve linking resource and common computer resource allocation conflicts by processing only those resource requirements required to resolve the conflict.

US Patent:

20190364291, Nov 28, 2019

Filed:

Aug 7, 2019

Appl. No.:

16/533992

Inventors:

- Austin TX, US
Jeffrey S. Perry - Austin TX, US

International Classification:

H04N 19/426
H04N 19/86
H04N 19/17
H04N 19/117
H04N 19/176
H04N 19/182
H04N 19/167
H04N 19/85
H04N 19/80

Abstract:

A system configured to perform pre-processing on a plurality of frames representative of an image, such as frames of a video sequences, to improve the compressibility of the video sequence during video encoding. In some cases, the plurality of frames are utilized to generate a deblocked image that may be compressed by the video encoder to further improve compression rates with respect to the original video sequence.

US Patent:

20180227587, Aug 9, 2018

Filed:

Feb 8, 2017

Appl. No.:

15/427570

Inventors:

- Austin TX, US
Jeffrey S. Perry - Austin TX, US

International Classification:

H04N 19/426
H04N 19/176
H04N 19/85
H04N 19/167
H04N 19/182
H04N 19/80

Abstract:

A system configured to perform pre-processing on a plurality of frames representative of an image, such as frames of a video sequences, to improve the compressibility of the video sequence during video encoding. In some cases, the plurality of frames are utilized to generate a deblocked image that may be compressed by the video encoder to further improve compression rates with respect to the original video sequence.

US Patent:

20140126808, May 8, 2014

Filed:

Aug 12, 2013

Appl. No.:

13/965073

Inventors:

- Austin TX, US
Jeffrey S. PERRY - Austin TX, US

Assignee:

Board of Regents, the University of Texas System - Austin TX

International Classification:

G06K 9/62
G06T 5/00

US Classification:

382159, 382275

Abstract:

Methods and composition for denoising digital camera images are provided herein. The method is based on directly measuring the local statistical structure of natural images in a large training set that has been corrupted with noise mimicking digital camera noise. The measured statistics are conditional means of the ground truth pixel value given a local context of input pixels. Each conditional mean is the Bayes optimal (minimum mean squared error) estimate given the specific local context. The conditional means are measured and applied recursively (e.g., the second conditional mean is measured after denoising with the first conditional mean). Each local context vector consists of only three variables, and hence the conditional means can be measured directly without prior assumptions about the underlying probability distributions, and they can be stored in fixed lookup tables.