Sii, Alan and Ong, SimYing and Wee, Mee-Chin and Wong, KokSheik (2021) Rewritable data embedding in image based on improved coefficient recovery. In: Proceedings of the 2021 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2021, 13-15 September 2021, Virtual, Online.
Full text not available from this repository.Abstract
Nowadays, most images are stored and transmitted in certain compressed forms based on some coding standards. Usually, the image is transformed, e.g., by discrete cosine transformation, and hence coefficient makes up a large proportion of the compressed bit stream. However, these coefficients might be corrupted or completely lost due to transmission errors or damages incurred on the storage device. Therefore, in this work, we aim to improve a conventional coefficient recovery method. Specifically, instead of using the Otsu's method adopted in the conventional method, an adaptive segmentation method is utilized to split the image into background and foreground regions, forming non-overlapping patches. Missing coefficients in these non-overlapping patches are recovered independently. In addition, a rewritable data embedding method is put forward by judiciously selecting patches to embed data. Experiments are carried to verify the basic performance of the proposed methods. In the best-case scenario, an improvement of 31.32 in terms of CPU time is observed, while up to 7149 bits of external data can be embedded into the image. © 2021 IEEE
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | Ministry of Higher Education, Malaysia [Grant No: FRGS/1/2018/ICT02/MUSM/02/2] |
| Uncontrolled Keywords: | Embeddings; Image coding; Image enhancement; Image segmentation; Recovery; Virtual storage, Adaptive; Bitstreams; Coding standards; Coefficient recovery; Data embedding; DCT; Discrete cosine transformation; Image-based; Rewritable; Segmentation, Discrete cosine transforms |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Software Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 02 Jul 2024 07:03 |
| Last Modified: | 02 Jul 2024 07:03 |
| URI: | http://eprints.um.edu.my/id/eprint/36118 |
Actions (login required)
 |
View Item |
