The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 03, 2020

Filed:

Oct. 06, 2016
Applicant:

National Ict Australia Limited, Eveleigh, NSW, AU;

Inventor:

Antonio Robles-Kelly, Eveleigh, AU;

Assignee:

National ICT Australia Limited, Eveleigh, NSW, AU;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 11/00 (2006.01); G01J 3/28 (2006.01); G06T 1/00 (2006.01); G01J 3/02 (2006.01);
U.S. Cl.
CPC ...
G06T 11/003 (2013.01); G01J 3/0229 (2013.01); G01J 3/28 (2013.01); G01J 3/2803 (2013.01); G01J 3/2823 (2013.01); G06K 9/6262 (2013.01); G06T 1/0007 (2013.01); G01J 2003/2826 (2013.01); G06T 2207/20081 (2013.01);
Abstract

This disclosure relates to processing colour images to reconstruct hyperspectral images from the colour images. An image processor determines an output hyperspectral image by determining for each point of the output hyperspectral image a combination of multiple hyperspectral prototype components to correspond the output hyperspectral image to the input image. Each of the multiple hyperspectral prototype components comprises multiple component values associated with respective wavelengths and each of the multiple component values is based on multiple points of training image data associated with the wavelength of that component value. Since the component values are based on multiple points of the training image, relationships between points in the training image, such as texture, can be used to reconstruct the hyperspectral image data, which leads to a more robust and more accurate reconstruction.


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