US 12,170,780 B2
Method and apparatus for real-time SAO parameter estimation
Hrushikesh Tukaram Garud, Maharashtra (IN); Mihir Narendra Mody, Bangalore (IN); and Soyeb Nagori, Bangalore (IN)
Assigned to TEXAS INSTRUMENTS INCORPORATED, Dallas, TX (US)
Filed by TEXAS INSTRUMENTS INCORPORATED, Dallas, TX (US)
Filed on Sep. 18, 2023, as Appl. No. 18/369,315.
Application 18/369,315 is a continuation of application No. 17/212,321, filed on Mar. 25, 2021, granted, now 11,765,359.
Application 17/212,321 is a continuation of application No. 16/889,962, filed on Jun. 2, 2020, granted, now 11,006,124, issued on May 11, 2021.
Application 16/889,962 is a continuation of application No. 16/432,453, filed on Jun. 5, 2019, granted, now 10,715,815, issued on Jun. 24, 2020.
Application 16/432,453 is a continuation of application No. 15/970,497, filed on May 3, 2018, granted, now 10,321,135, issued on Jun. 11, 2019.
Application 15/970,497 is a continuation of application No. 15/367,378, filed on Dec. 2, 2016, granted, now 9,967,569, issued on May 8, 2018.
Application 15/367,378 is a continuation of application No. 14/447,062, filed on Jul. 30, 2014, abandoned.
Claims priority of application No. 3400/CHE/2013 (IN), filed on Jul. 30, 2013.
Prior Publication US 2024/0007648 A1, Jan. 4, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 19/86 (2014.01); H04N 19/117 (2014.01); H04N 19/147 (2014.01); H04N 19/149 (2014.01); H04N 19/176 (2014.01); H04N 19/182 (2014.01); H04N 19/82 (2014.01)
CPC H04N 19/147 (2014.11) [H04N 19/117 (2014.11); H04N 19/149 (2014.11); H04N 19/176 (2014.11); H04N 19/182 (2014.11); H04N 19/82 (2014.11)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
estimating a first rate distortion (RD) cost associated with a candidate offset for a sample adaptive offset (SAO) category;
estimating a second RD cost associated with disabling a SAO encoder for the SAO category;
determining that the second RD cost is a best RD cost; and
deactivating the SAO encoder for the SAO category in response to determining that the second RD cost is the best RD cost.