Refining Coded Image in Human Vision Layer Using CNN-Based Post-Processing
<|reference_start|>Refining Coded Image in Human Vision Layer Using CNN-Based Post-Processing: Scalable image coding for both humans and machines is a technique that has gained a lot of attention recently. This technology enables the hierarchical decoding of images for human vision and image recognition models. It is a highly effective method when images need to serve both purposes. However, no research has yet incorporated the post-processing commonly used in popular image compression schemes into scalable image coding method for humans and machines. In this paper, we propose a method to enhance the quality of decoded images for humans by integrating post-processing into scalable coding scheme. Experimental results show that the post-processing improves compression performance. Furthermore, the effectiveness of the proposed method is validated through comparisons with traditional methods.<|reference_end|>
@article{shindo2024refining,
    title={Refining Coded Image in Human Vision Layer Using CNN-Based
  Post-Processing},
    author={Takahiro Shindo, Yui Tatsumi, Taiju Watanabe, Hiroshi Watanabe},
    journal={arXiv preprint arXiv:2405.11894},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.11894},
    primaryClass={cs.CV eess.IV}
}