First, the Subpixel Context Model (SAM) is aimed to speed up the process of entropy coding. The proposed SAM is latent by latent instead of pixel by pixel.

First, the Subpixel Context. Model (SAM) is aimed to speed up the process of entropy coding. The proposed SAM is latent by latent instead of pixel by pixel.

In this paper, the authors present a binary image compression scheme that can be used either for lossless or lossy compression requirements.

Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner. H Li, W Jiang, L Li, Y Zhai, R Wang. 2023 IEEE International ...

(VICP 2024) Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner Tian, Wenxin and Li, Shaohui and Dai, Wenrui and Lu ...

May 19, 2024 · Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner. VCIP 2023: 1-5. [i2]. view. electronic edition via ...

Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner · Conference Paper. December 2023. ·. 6 Reads. Hangyu Li. ·. Wei Jiang.

Mar 18, 2024 · This paper proposes to decrease Cool-chic encoding and decoding complexity. The encoding complexity is reduced by shortening Cool-chic training, ...

Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner ... Image Codec Based on Mixed Autoregressive Model for Low ...

To compress an image, overfitted codecs learn (overfit) a lightweight neural decoder and latent representation tailored for this image. The decoder parameters ...