FIELD: image data processing.
SUBSTANCE: invention relates to low latency image encoding/decoding. Method for restoring an image from a data stream includes the stage of decoding slices from a data stream in accordance with the order of slices, and the method reacts to a segment of the syntactic element in the current slice from said slices so as to decode the current slice in accordance with one of at least two modes. In accordance with the first mode, the current slice is decoded from the data stream using context-adaptive entropy decoding, including the output of contexts through the boundaries of slices, continuous updating of context symbol probabilities, and initialisation of symbol probabilities depending on the stored states of symbol probabilities of a previously decoded slice, and prediction decoding through the boundaries of slices. In accordance with the second mode, the current slice is decoded from the data stream using context-adaptive entropy decoding with context output limitation so as not to cross the boundaries of slices, continuous updating of context symbol probabilities and initialisation of symbol probabilities independently of the previously decoded slice, and prediction decoding with prediction decoding limitation so as not to cross the boundaries of slices.
EFFECT: invention provides effective parallelisation.
10 cl, 37 dwg, 4 tbl
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Authors
Dates
2022-12-01—Published
2021-10-14—Filed