High-Payload Data-Hiding Method for AMBTC Decompressed Images
نویسندگان
چکیده
منابع مشابه
High Capacity Reversible Data Hiding in AMBTC-Compressed Images
This paper proposes a high capacity reversible data hiding scheme in images compressed by absolute moment block truncation coding (AMBTC). The quantization levels of compressed blocks are employed as cover media, and some extra confidential data are hidden in it based on a multilevel histogram shifting mechanism. The transmission system preserves the same complexity. Moreover, the reconstructed...
متن کاملRegion Based Data Hiding For High Payload
Steganography is the process of hiding a secret message within a larger one in such a way that someone cannot know the presence or contents of the hidden message. The purpose of Steganography is to protect the hidden information from the outside world and the security will increase if the secret information can’t be retrieved even if the attacker has the idea of embedding method. The proposed t...
متن کاملLSB steganographic payload location for JPEG-decompressed images
Article history: Available online xxxx
متن کاملHigh Capacity Data Hiding for Grayscale Images
High embedding capacity and low image distortion factors are main concerns of information hiding researchers. No scheme can achieve these two factors simultaneously. The purpose of achieving either high embedding capacity or low image distortion varies from application to application. This paper presents a high embedding capacity information hiding method for grayscale images. The proposed meth...
متن کاملEnhanced Joint and Separable Reversible Data Hiding in Encrypted Images with High Payload
Recently, much attention has been paid to reversible data hiding (RDH) in encrypted images, since it preserves the data that the original image can be perfectly recovered after data extraction while protecting the confidentiality of image content. In this paper, we propose joint and separable RDH techniques using an improved embedding pattern and a new measurement function in encrypted images w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Entropy
سال: 2020
ISSN: 1099-4300
DOI: 10.3390/e22020145