MODEL-INDEPENDENT GENERATION OF AN ENHANCED RESOLUTION IMAGE FROM A NUMBER OF LOW RESOLUTION IMAGES

Patent №

US 8,665,342

Granted

2014-03-04

Filed 2011

Owner

KING ABDDULAZIZ CITY FOR SCIENCE AND TECHNOLOGY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13039336

A method, an apparatus and/or a system of model-independent generation of an enhanced resolution of image from a number of low resolution images is disclosed. A method includes capturing a number of low resolution images through a first sensor (e.g., first plurality of low resolution images) and a number of low resolution images through a second sensor (e.g., second plurality of low resolution images). The first sensor has a higher resolution than the second sensor. The method also includes estimating expansion coefficients of polyphase components of an enhanced resolution image based on the number of low resolution images through a second sensor (e.g., second plurality of low resolution images) through a processor. The expansion coefficients are expressed in terms of the number of low resolution images through a first sensor (e.g., first plurality of low resolution images).

VisionG06T 3/4053H04N 23/45H04N 23/951

AI classification

Vision1.00
Planning0.13
AI hardware0.01
Machine learning0.00
Natural language0.00
Knowledge representation0.00
Speech0.00
Evolutionary computation0.00

Ownership

KING ABDDULAZIZ CITY FOR SCIENCE AND TECHNOLOGY

assignment · 258910419

Assignors

AL-SALEM, FAISAL MUHAMMED, YAGLE, ANDREW EMIL

On an employer assignment, the assignors are typically the inventors.

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