CPC G06T 9/002 (2013.01) [G06N 3/045 (2023.01); H04N 19/124 (2014.11); H04N 19/13 (2014.11); H04N 19/159 (2014.11); H04N 19/176 (2014.11)] | 20 Claims |
1. A method of decoding a neural image with latent feature-domain intra-prediction, the method being performed by at least one processor, and the method comprising:
receiving a set of latent blocks, and for each of the blocks in the set of latent blocks:
predicting a block, based on a set of previously recovered blocks, using a first neural network;
receiving a selection signal indicating a currently recovered block;
based on the received selection signal, performing one of (1) and (2):
(1) generating a compact residual, a set of residual context parameters, and a decoded residual; and
generating a first decoded block, based on the predicted block and the decoded residual;
(2) generating a second decoded block, based on a compact representation block and a set of context parameters;
generating a set of recovered blocks comprising each of the currently recovered blocks;
generating a recovered latent image by merging all the blocks in the set of recovered blocks; and
decoding the generated recovered latent image, using a second neural network, to obtain a reconstructed image.
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