Stego_Encoder/DecoderMutual InformationQuantum Dot-Cellular Automata (QCA) in the context of Nanotechnology would be the challenging orientations in researches to be intended and analyzed the precise paths to be elaborated in the field of the image steganography. In modern era QCA is one of the ...
A Steganography significant bits image decoder may be useful in some CTF. Feel free to help :) ( This program use Python3 )RequirementsThis program requires the lib Pillow, which can be installed as followspip install Pillow How to use itUsagepython...
All the existing image steganography methods use manually crafted features to hide binary payloads into cover images. This leads to small payload capacity and image distortion. Here we propose a convolutional neural network based encoder-decoder architecture for embedding of images as payload. To this...
End-to-end trained cnn encode-decoder networks for image steganography. arXiv preprint arXiv:1711.07201, 2017. 1, 2, 4 [24] JJKO Ruanaidh, WJ Dowling, and Francis M Boland. Phase watermarking of digital images. In Proceedings of 3rd IEEE International Conference on Image Processing, volume...
To solve the above problem, we propose an improved image steganography framework for neural style transfer based on Y channel information and a novel structural loss, composed of an encoder, a style transfer network, and a decoder. By introducing a structural loss to restrain the process of ...
LiDiNet: A Lightweight Deep Invertible Network for Image-in-Image Steganography Useful LinksCVPR 2025 Accepted Papers https://cvpr.thecvf.com/Conferences/2025/AcceptedPapers/ ECCV 2024 Accepted papers https://eccv.ecva.net/virtual/2024/papers.html?filter=titles/ IJCAI 2024 Main Track Accepted Paper...
To decode the context well, we also design a residual attention block based on polarized self-attention as the decoder. The feature extracting subnet based on transfer learning is used to obtain global robust features of the degraded images. By fusing the information from both subnets, high-...
One popular approach using CNNs for medical image compression is autoencoder-based architectures [63]. In this method, an encoder compresses the image into a smaller representation, and a decoder reconstructs the image from this compressed form. The autoencoder learns an efficient representation of...
GID (Generic Image Decoder): a standalone, portable generic Ada package for decoding images gen-img-dec.sourceforge.io/ Topics jpgpngjpegtgapgmbmpimage-processinggifsteganographyadapnmgif-decoderpng-decoderbmp-decoderjpeg-decodertargapgm-readerada-languageada-libraryqoi ...
i am doing a project on image steganography but... Learn more about image processing, image, digital image processing, steganography