Convolutional Transformer-Based Image Compression
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866929489743708160 |
|---|---|
| author | Arezki, Bouzid Feng, Fangchen Mokraoui, Anissa |
| author_facet | Arezki, Bouzid Feng, Fangchen Mokraoui, Anissa |
| contents | In this paper, we present a novel transformer-based architecture for end-to-end image compression. Our architecture incorporates blocks that effectively capture local dependencies between tokens, eliminating the need for positional encoding by integrating convolutional operations within the multi-head attention mechanism. We demonstrate through experiments that our proposed framework surpasses state-of-the-art CNN-based architectures in terms of the trade-off between bit-rate and distortion and achieves comparable results to transformer-based methods while maintaining lower computational complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_04118 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Convolutional Transformer-Based Image Compression Arezki, Bouzid Feng, Fangchen Mokraoui, Anissa Image and Video Processing In this paper, we present a novel transformer-based architecture for end-to-end image compression. Our architecture incorporates blocks that effectively capture local dependencies between tokens, eliminating the need for positional encoding by integrating convolutional operations within the multi-head attention mechanism. We demonstrate through experiments that our proposed framework surpasses state-of-the-art CNN-based architectures in terms of the trade-off between bit-rate and distortion and achieves comparable results to transformer-based methods while maintaining lower computational complexity. |
| title | Convolutional Transformer-Based Image Compression |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2409.04118 |