Causal Contextual Prediction for Learned Image Compression
IEEE Transactions on Circuits and Systems for Video Technology(2022)
摘要
Over the past several years, we have witnessed impressive progress in the field of learned image compression. Recent learned image codecs are commonly based on autoencoders, that first encode an image into low-dimensional latent representations and then decode them for reconstruction purposes. To capture spatial dependencies in the latent space, prior works exploit hyperprior and spatial context m...
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关键词
Context modeling,Predictive models,Image coding,Entropy,Correlation,Entropy coding,Transforms
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