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High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation. (arXiv:2204.11448v2 [eess.IV] UPDATED)
Oct. 13, 2022, 1:17 a.m. | Ming Lu, Fangdong Chen, Shiliang Pu, Zhan Ma
cs.CV updates on arXiv.org arxiv.org
Questing for learned lossy image coding (LIC) with superior compression
performance and computation throughput is challenging. The vital factor behind
it is how to intelligently explore Adaptive Neighborhood Information
Aggregation (ANIA) in transform and entropy coding modules. To this end,
Integrated Convolution and Self-Attention (ICSA) unit is first proposed to form
a content-adaptive transform to characterize and embed neighborhood information
dynamically of any input. Then a Multistage Context Model (MCM) is devised to
progressively use available neighbors following a pre-arranged …
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