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Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules. (arXiv:2208.13974v1 [eess.IV])
Aug. 31, 2022, 1:13 a.m. | Ran Wang, Jinming Liu, Heming Sun, Jiro Katto
cs.CV updates on arXiv.org arxiv.org
Lossless image compression is an essential research field in image
compression. Recently, learning-based image compression methods achieved
impressive performance compared with traditional lossless methods, such as
WebP, JPEG2000, and FLIF. However, there are still many impressive lossy
compression methods that can be applied to lossless compression. Therefore, in
this paper, we explore the methods widely used in lossy compression and apply
them to lossless compression. Inspired by the impressive performance of the
Gaussian mixture model (GMM) shown in lossy compression, …
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