US 12,002,246 B2
Systems for digital image compression using context-based pixel predictor selection
Stefano Petrangeli, Mountain View, CA (US); Viswanathan Swaminathan, Saratoga, CA (US); and Haoliang Wang, San Jose, CA (US)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Jan. 14, 2021, as Appl. No. 17/148,928.
Prior Publication US 2022/0222866 A1, Jul. 14, 2022
Int. Cl. G06T 9/40 (2006.01); G06N 7/01 (2023.01); G06T 3/40 (2006.01); H04N 19/13 (2014.01); H04N 19/169 (2014.01); H04N 19/186 (2014.01); H04N 19/96 (2014.01)
CPC G06T 9/40 (2013.01) [G06N 7/01 (2023.01); G06T 3/40 (2013.01); H04N 19/13 (2014.11); H04N 19/186 (2014.11); H04N 19/1883 (2014.11); H04N 19/96 (2014.11)] 20 Claims
OG exemplary drawing
 
1. In a digital medium environment for compressing digital images, a method implemented by a computing device, the method comprising:
receiving, by the computing device, digital image data describing pixels of a digital image;
grouping, by the computing device, first differences between values of the pixels and first prediction values of the pixels into context groups;
determining, by the computing device, a pixel predictor for each of the context groups based on a compression criterion;
generating, by the computing device, second prediction values of the pixels using the determined pixel predictor for pixels corresponding to the first differences included in each of the context groups; and
grouping, by the computing device, second differences between the values of the pixels and the second prediction values of the pixels into different context groups.