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:
Jun. 23, 2015

Filed:

Apr. 24, 2012
Applicants:

Guan-ming Su, Fremont, CA (US);

Yufei Yuan, Austin, TX (US);

Sheng Qu, San Jose, CA (US);

Inventors:

Guan-Ming Su, Fremont, CA (US);

Yufei Yuan, Austin, TX (US);

Sheng Qu, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 7/26 (2006.01); H04N 7/12 (2006.01); H04N 7/32 (2006.01); H04N 11/02 (2006.01); H04N 19/126 (2014.01); H04N 19/46 (2014.01); H04N 19/136 (2014.01); H04N 19/186 (2014.01); H04N 19/192 (2014.01); H04N 19/86 (2014.01); H04N 19/36 (2014.01); H04N 19/40 (2014.01); H04N 19/61 (2014.01); H04N 21/2365 (2011.01);
U.S. Cl.
CPC ...
H04N 19/00096 (2013.01); H04N 7/26941 (2013.01); H04N 7/50 (2013.01); H04N 21/2365 (2013.01); H04N 19/46 (2014.11); H04N 19/126 (2014.11); H04N 19/136 (2014.11); H04N 19/186 (2014.11); H04N 19/192 (2014.11); H04N 19/86 (2014.11); H04N 19/36 (2014.11);
Abstract

In layered VDR coding, inter-layer residuals are quantized by a non-linear quantizer before being coded by a subsequent encoder. Several non-linear quantizers are presented. Such non-linear quantizers may be based on sigmoid-like transfer functions, controlled by one or more free parameters that control their mid-range slope. These functions may also depend on an offset, an output range parameter, and the maximum absolute value of the input data. The quantizer parameters can time-vary and are signaled to a layered decoder. Example non-linear quantizers described herein may be based on the mu-law function, a sigmoid function, and/or a Laplacian distribution.


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