DATA HIDING ON DIGITAL IMAGES USING DEEP NEURAL NETWORK (DNN)
In this paper, the framework of Data Hiding on Digital Images Using Deep Neural Network (DNN). Here DeepSteg architecture is considered to evaluate the performance of the multiple secret images that can be concatenated to the single cover image, the image data will be hidden on the single cover image using the Tiny ImageNet dataset. The proposed model outperformed earlier results. To compare our results two parameters, normally Secret loss(λs) and cover loss(λc) are considered. Our plan is to use deep neural networks for the encoding and decoding of multiple secret images inside a single cover image of a similar goal.
Authors
- Bikash Chandra Bag
Publication Details
- Journal
- JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
- Published
- 2024-08-15
- DOI
- https://doi.org/10.26782/jmcms.2024.08.00003
- Primary Topic
- Advanced Steganography and Watermarking Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00