High Capacity Data Embedding System using Projection Quantization
نویسندگان
چکیده
In this paper, we propose a high capacity dataembedding system in DCT domain and review the existing high capacity data embedding systems both in spatial domain as well as transform domain. The embedding algorithm is based on the quantized projection embedding method with some enhancement to achieve high embedding rates. The embedding is done on the quantized DCT coefficients using the concept of Hadamard Matrix as base vector. The system has very high capacity as comparable to the existing techniques of DCT domain. The system is highly robust and achieves high visual imperceptibility.
منابع مشابه
Robust and High-Secured Watermarking System Using Zernike Moments
Watermarking is an effective technology that solves many problems within a digitization project. A high capacity data entrenching scheme based on precise and fast framework for the computation of Zernike moments (ZMs) is proposed in this paper. The high capacity is achieved by maximizing data entrenching size and improving the hiding ratio after dipping the inaccuracies in the computation of ZM...
متن کاملDetection of perturbed quantization (PQ) steganography based on empirical matrix
Perturbed Quantization (PQ) steganography scheme is almost undetectable with the current steganalysis methods. We present a new steganalysis method for detection of this data hiding algorithm. We show that the PQ method distorts the dependencies of DCT coefficient values; especially changes much lower than significant bit planes. For steganalysis of PQ, we propose features extraction from the e...
متن کاملSingular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images
In this paper, a steganography technique for JPEG2000 compressed images using singular value decomposition in wavelet transform domain is proposed. In this technique, DWT is applied on the cover image to get wavelet coefficients and SVD is applied on these wavelet coefficients to get the singular values. Then secret data is embedded into these singular values using scaling factor. Different com...
متن کاملAn Adaptive Data Hiding System Based on SMVQ
Based on Side-Match Vector Quantization (SMVQ), the authors propose two schemes to embed more secret information without significantly sacrificing the compression ratio. The data transform scheme improves the embedding capacity while maintaining the same compression ratio. The direct embedding scheme improves the embedding capacity at the expense of increasing the compression ratio slightly. Ac...
متن کاملLattice Costa schemes using subspace projection for digital watermarking
A general watermarking scheme employing lattice quantization is proposed and analyzed. This scheme is based on the equivalence of embedding in digital watermarking and transmission over so-called modulo-Λ channels. Main intention is to increase the maximum data rate which can be transmitted reliably (Shannon capacity of the scheme), tolerating a certain embedding and attack distortion. For this...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012