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:
Oct. 10, 2017

Filed:

Nov. 27, 2014
Applicant:

Lightron International Co., Ltd., Saitama, JP;

Inventor:

Mitsuo Eguchi, Saitama, JP;

Assignee:

Lightron International Co., Ltd., Saita, ashi Saitama, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/01 (2006.01); H04N 9/64 (2006.01); H04N 5/21 (2006.01); G06T 5/00 (2006.01); H04N 5/57 (2006.01); H04N 5/208 (2006.01);
U.S. Cl.
CPC ...
H04N 9/646 (2013.01); G06T 5/003 (2013.01); H04N 5/208 (2013.01); H04N 5/21 (2013.01); H04N 5/57 (2013.01); G06T 2207/10016 (2013.01);
Abstract

A 70,000-gate device and method which provide substantially real-time TV video images that are similar to pre-degradation original images by: setting luminance distribution of a degraded image and an estimated luminance distribution of initial values of a reconstructed image for one frame of TV video images; using a first PSF luminance distribution in a first-time iterative calculation, said first PSF luminance distribution having been specified in accordance with the degree of degradation of the degraded image; using a second PSF luminance distribution in a second-time iterative calculation; and while setting a reconstructed image estimated luminance distribution from the first-time iterative calculation as a second-time estimated luminance distribution of the initial values of the reconstructed image, performing the second-time iterative calculation in an image reconstructioner which determines, in the luminance distribution of the degraded image, the most likely estimated luminance distribution of the reconstructed image based on the Bayse probability theorem.


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