Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation. (arXiv:2209.03353v1 [eess.IV])

The application of the context-adaptive entropy model significantly improves
the rate-distortion (R-D) performance, in which hyperpriors and autoregressive
models are jointly utilized to effectively capture the spatial redundancy of
the latent representations. However, the latent representations still contain
some spatial correlations. In addition, these methods based on the
context-adaptive entropy model cannot be accelerated in the decoding process by
parallel computing devices, e.g. FPGA or GPU. To alleviate these limitations,
we propose a learned multi-resolution image compression framework, which
exploits …

arxiv compression convolution image octave