Feature Image Watermarking Based on Bicubic Interpolation of Wavelet Coefficients Using CRT
نویسندگان
چکیده
منابع مشابه
Image Steganalysis Based on Co-Occurrences of Integer Wavelet Coefficients
We present a steganalysis scheme for LSB matching steganography based on feature vectors extracted from integer wavelet transform (IWT). In integer wavelet decomposition of an image, the coefficients will be integer, so we can calculate co-occurrence matrix of them without rounding the coefficients. Before calculation of co-occurrence matrices, we clip some of the most significant bitplanes of ...
متن کاملAn Efficient CRT based Digital Image Watermarking using Double Density Wavelet Transform
Digital Watermarking is an unpretentious and effective approach to afford copyright fortification. Watermark transparency is obligatory primarily for copyright protection. The challenge is to introduce a digital watermark that is both transparent and highly robust to common signal processing and possible attacks. The two basic requirements for an effective watermarking scheme, robustness and tr...
متن کاملA Crt Based Robust Image Watermarking Using Discrete Tchebichef Transform
This paper presents a Chinese Remainder Theorem (CRT) based digital watermarking technique in Discrete TChebyshef Transform (DTT) domain which is robust to several common attacks. The proposed technique is compared with the recently proposed CRT based Discrete Cosine Transform (DCT) domain technique. Extensive simulation experiments show the better robustness to the common image manipulations s...
متن کاملWavelet Based Image Watermarking
here it introduces an efficient multi-resolution watermarking methodology for copyright protection of digital images. By adapting the watermark signal to the wavelet coefficients, the proposed method is highly image adaptive and the watermark signal can be strengthen in the most significant parts of the image. As this property also increases the watermark visibility, usage of the human visual s...
متن کاملImage interpolation using wavelet-based contour estimation
Successful image interpolation requires proper enhancement of high frequency content of image pixels around edges. In this paper, we introduce a simple edge model to estimate high resolution edge profiles from lower resolution values. Pixels around edges are viewed as samples taken from one dimensional (1-D) continuous edge profiles according to 1D smooth edge contours defining the sampling ins...
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: CommIT (Communication and Information Technology) Journal
سال: 2017
ISSN: 2460-7010,1979-2484
DOI: 10.21512/commit.v11i2.3870