To address the above problems, this paper extends the RL-based cost learning methods to the DCT domain and proposes a method called JEC-RL (JPEG Embedding Cost ...

May 9, 2021 · To address the above problems, in this paper we extend the RL based automatic embedding cost learning scheme with a sampling based simulator to ...

May 9, 2021 · Extensive experiments and ablation studies demonstrate that the proposed method can achieve good security performance for JPEG images against ...

Jan 6, 2024 · This technique was based on cost-based embedding and incorporated reinforcement learning to determine the cost. ... ... These metrics focused on ...

from publication: Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge | Although significant progress in automatic learning ...

JEC-RL (Improving cost learning for JPEG steganography by exploiting JPEG domain knowledge) Code. PICO-RL (Payload-independent direct cost learning for image ...

In this paper, we propose an efficient distortion cost cross-domain transformation method for JPEG steganography, the core of which is a closed-form expression ...

Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge · Identification of deep network generated images using disparities in color ...

Feb 21, 2023 · ... steganography using deep reinforcement learning. IEEE ... Improving cost learning for JPEG steganography by exploiting JPEG domain knowledge.

A new embedding cost learning framework called SPAR-RL (Steganographic Pixel-wise Actions and Rewards with Reinforcement Learning) that achieves ...